This document presents a formal benchmark engineering study of the BitMindz RCKTBX Forensic Processing Engine series. Drawing upon systematic performance testing conducted since 2013, this report details the methodologies, hardware configurations, benchmarking tools, and quantifiable results achieved across multiple system generations. RCKTBX systems consistently rank within the 90th to 99th global percentile on PassMark PerformanceTest — the de facto standard for PC benchmarking since 1998. This study is intended to substantiate BitMindz's engineering credentials and demonstrate the suitability of RCKTBX systems for law enforcement, military, government, and corporate digital forensics operations.
This study has been updated to include PCIe 5.0 NVMe testing data, Samsung 990 Pro benchmark results, and performance figures from next-generation RCKTBX configurations. See Section 7 for current results.
Introduction
BitMindz was founded in 2018 with a singular mission: to provide law enforcement agencies, military units, government bodies, and corporate enterprises with the most advanced, reliable, and performant forensic computing platforms available. Every RCKTBX system is designed, assembled, and validated in the United States.
The story, however, begins earlier. BitMindz Founder and CEO Manny Kressel was employed at a law enforcement agency conducting computer forensic examinations when he recognized a fundamental problem: the systems were slow, missing newer technologies like solid-state disks, NVMe drives, faster memory, and modern PCIe architectures. The goal became clear — make the systems faster. By 2013, Kressel had introduced what was then the fastest forensic workstation on the market to the forensic community, pioneering RAID NVMe configurations and Rapid Mode SSD acceleration before either approach was mainstream.
The forensic computing environment places uniquely demanding requirements on hardware. Examiners routinely process terabytes of evidentiary data, render thousands of images and video files, execute cryptographic hash operations, and conduct password recovery campaigns — often simultaneously. Any bottleneck in the processing pipeline directly impacts case timelines and investigative outcomes. The RCKTBX series is engineered to eliminate those bottlenecks through a systems-level approach.
Methodology
2.1 Benchmarking Software
All RCKTBX systems are benchmarked using PassMark® PerformanceTest (Version 10.0), developed by PassMark Software Pty Ltd. (Sydney, Australia). PassMark PerformanceTest has served as the de facto standard for PC benchmarking since 1998, with over 600,000 systems benchmarked across more than 1,200 CPU architectures. The software produces composite scores across five categories — CPU, 2D Graphics, 3D Graphics, Memory, and Disk — with global percentile rankings against all submitted results.
Storage throughput is measured with ATTO Disk Benchmark v4.01.0f1, providing granular read/write performance across I/O block sizes from 512 bytes to 64 MB. Password recovery throughput is measured using a commercial OpenCL-accelerated GPU recovery platform.
2.2 Testing Standards
All tests are conducted under controlled conditions: freshly configured OS, current drivers, minimized background services, and complete benchmark suite runs. Results are documented via screenshots and tabulated in standardized spreadsheets — creating a longitudinal reference dataset spanning system generations from 2013 to the present.
Physical hardware validation accompanies every benchmark: thermal paste evaluation, airflow measurement with a calibrated anemometer, processor stress testing for cooling qualification, GPU voltage and thermal profiling under sustained load, and individual port-level validation before shipment.
2.3 Systems Tested
This study covers the RCKTBX X0, X3, X3i, X6, X9, Xa, and Xi series — ranging from entry-level investigative workstations to multi-GPU processing engines designed for high-volume evidence processing and parallel password recovery.
System Architecture
3.1 Chassis & Physical Design
BitMindz has designed its own proprietary computer chassis manufactured exclusively for RCKTBX systems. Key engineering decisions include: optimized internal airflow geometry, vertical structural support bars for transit integrity, hinged side-panel doors for rapid component access, a rugged powder-coat finish, grommeted cable management cutouts, and an expandable hard drive mount system. The chassis is fabricated from 1.2 mm thick rolled steel — a robust platform appropriate for lab and field deployment.
3.2 Three-Tier Storage Architecture
BitMindz identifies storage as the primary determinant of forensic processing throughput. The RCKTBX architecture addresses this with a deliberate three-tier approach:
Samsung Magician's Rapid Mode uses unused system RAM as a high-speed cache layer in front of the SSD, elevating effective read throughput to peak speeds exceeding 29 GB/s — dramatically reducing OS latency during evidence processing sessions.
Dedicated NVMe RAID controllers support 2–8 M.2 NVMe drives within a single PCIe add-in card. A four-drive NVMe RAID consistently delivers 23–25 GB/s sustained throughput for simultaneous ingestion and analysis.
Individual NVMe drives attached to the motherboard serve as temporary or cache volumes. PCIe 3.0 drives deliver ~5 GB/s; PCIe 4.0 and 5.0 drives push beyond 7–11 GB/s — ensuring cache operations never become a bottleneck.
3.3 Graphics Processing
GPUs in RCKTBX systems serve a dual purpose: media rendering for image and video evidence review, and parallel computation for cryptographic password recovery. GPU selection and positioning is governed by CUDA core count, thermal performance under sustained load, and OpenCL efficiency. Advanced cooling configurations ensure that measured throughput rates are reproducible under operational conditions, not just burst performance.
PassMark Benchmark Results
All configurations achieved a complete PerformanceTest 10.0 run with all subtests executed. Depending on configuration, RCKTBX systems consistently benchmark from the 90th to 99th global percentile.
| Metric | Score | Percentile |
|---|---|---|
| Overall PassMark Rating | 8,731.4 | — |
| CPU Mark | 41,633.8 | 98th |
| 2D Graphics Mark | 974.2 | 81st |
| 3D Graphics Mark | 16,428.3 | 77th |
| Memory Mark | 3,794.3 | 95th |
| Disk Mark | 39,818.4 | 95th |
| Metric | Score | Percentile |
|---|---|---|
| Overall PassMark Rating | 8,845.8 | 99th |
| CPU Mark | 67,113.0 | 99th |
| 2D Graphics Mark | 963.5 | 88th |
| 3D Graphics Mark | 24,258.7 | 99th |
| Memory Mark | 3,446.5 | 92nd |
| Disk Mark | 30,428.5 | 99th |
| Metric | Score | Percentile |
|---|---|---|
| Overall PassMark Rating | 9,082.6 | 99th |
| CPU Mark | 67,947.5 | 99th |
| 2D Graphics Mark | 978.4 | 88th |
| 3D Graphics Mark | 26,788.3 | 99th |
| Memory Mark | 3,614.7 | 95th |
| Disk Mark | 30,539.8 | 99th |
Storage I/O Benchmark Results
Storage performance is measured using ATTO Disk Benchmark across I/O block sizes from 512 bytes to 64 MB. These results illustrate the three-tier storage architecture performing in concert.
| Block Size | Write | Read |
|---|---|---|
| 8 KB | 816.69 MB/s | 933.88 MB/s |
| 1 MB | 10.07 GB/s | 14.14 GB/s |
| 4 MB | 18.63 GB/s | 22.50 GB/s |
| 16 MB (peak) | 15.96 GB/s | 29.35 GB/sPEAK |
| 64 MB | 16.00 GB/s | 21.84 GB/s |
| Block Size | Write | Read |
|---|---|---|
| 1 MB | 11.66 GB/s | 11.60 GB/s |
| 4 MB | 16.59 GB/s | 19.21 GB/s |
| 16 MB (peak) | 17.82 GB/s | 23.38 GB/s |
| 48 MB | 18.19 GB/s | 23.45 GB/s |
| Block Size | Write | Read |
|---|---|---|
| 1 MB | 4.62 GB/s | 5.96 GB/s |
| 16 MB | 4.60 GB/s | 6.19 GB/s |
| 64 MB (peak) | 4.61 GB/s | 6.14 GB/s |
GPU Password RecoveryThroughput
Password recovery throughput was measured using a commercial GPU-accelerated platform leveraging OpenCL. All GPU configurations use NVIDIA RTX 3090 cards (10,496 CUDA cores each).
| Component | Specification |
|---|---|
| GPU | NVIDIA GeForce RTX 3090 (10,496 CUDA Cores) |
| CPU | AMD Ryzen 9 5950X 16-Core |
| RAM | 64 GB |
| Recovery Speed | ~7,827,033 passwords/sec |
| Component | Specification |
|---|---|
| GPUs per Node | 4× NVIDIA GeForce RTX 3090 |
| CPU per Node | Intel Xeon Gold 6248R @ 3.00 GHz ×48 threads |
| RAM per Node | 256 GB |
| Combined Recovery Speed | ~58,684,257 passwords/secPEAK |
During a live X-Ways Forensics processing session, an RCKTBX system achieved a burst throughput of 37.2 GB/min. Under sustained operational workloads, processing speeds consistently exceeded 10 GB/min — validating that synthetic benchmark scores translate directly to real investigative productivity.
2024–2025 Update: PCIe 5.0 & Next-Gen NVMe Results
The following results were added in our 2024–2025 testing cycle and reflect current-generation RCKTBX configurations with PCIe 5.0 NVMe drives and updated processor platforms.
Testing of PCIe 5.0 NVMe drives across multiple current-generation RCKTBX configurations — including different motherboards and processors — consistently produced sequential read/write speeds between 8,000 MB/s and 11,000 MB/s. PCIe 5.0 doubles the maximum data transfer rate of PCIe 4.0, with a theoretical maximum unidirectional bandwidth of 64 GB/s.
In a recent RCKTBX configuration pairing an Intel 13900KF processor with multiple Samsung 990 Pro NVMe drives and a Samsung SSD for the OS volume, the system delivered benchmark scores that outperformed all prior processor-based configurations we had tested. Speeds across the NVMe drives remained consistent even under concurrent benchmark load, with no bandwidth degradation — a key validation of our multi-volume architecture design.
| Metric | Result |
|---|---|
| PCIe Gen | 5.0 |
| Max Theoretical Bandwidth (Unidirectional) | 64 GB/s |
| Observed Sequential Throughput Range | 8,000 – 11,000 MB/s |
| Bandwidth Loss Under Concurrent Load | None observed |
| Drives Tested | Samsung 990 Pro, PNY PCIe 4.0 NVMe |
Analysis & Discussion
The data across all tested configurations reveals a consistent pattern: RCKTBX systems achieve PassMark ratings in the 90th to 99th global percentile. This is not coincidental — it reflects a systems-engineering philosophy that addresses performance holistically rather than optimizing components in isolation.
A key insight from over a decade of hardware testing is that the weakest link in any forensic processing pipeline is almost always storage. Rotational HDDs and even conventional 2.5" SATA SSDs represent meaningful throughput constraints given modern CPU and GPU capabilities. The RCKTBX three-tier storage architecture mitigates this through RAM-assisted OS drive acceleration, high-throughput NVMe RAID arrays, and dedicated NVMe scratch volumes — each optimized for its specific role.
The GPU password recovery scaling is particularly noteworthy. A single RTX 3090 delivers ~7.8 million candidates per second. Eight GPUs across two nodes exceed 58 million per second — demonstrating near-linear scaling without inter-GPU communication bottlenecks.
The Rapid Mode results merit specific attention. The underlying Samsung SSD has a SATA 6 Gb/s interface ceiling of approximately 600 MB/s — yet Samsung Magician's RAM cache technique produces effective throughput of 29.35 GB/s. That is a 48× improvement over the raw drive specification, with measurable impact on OS responsiveness during active processing sessions.
Frequently Asked Questions
The questions below are drawn from the forensic community and represent the most common inquiries we receive from law enforcement agencies and investigators evaluating digital forensics workstations.
Manny Kressel has nearly two decades of experience in forensic computer engineering, system integration, and digital forensics. A veteran of law enforcement digital forensics, he was among the first practitioners to introduce RAID NVMe configurations and RAM-assisted SSD acceleration to the forensic community — beginning in 2013. His background spans computer forensic examinations, eDiscovery, incident response, and cryptanalysis/decryption. He founded BitMindz in 2018 to bring that engineering philosophy to law enforcement, military, and government agencies at scale.
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