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@lepomiz
lepomiz / H200-CUDA-12.4.txt
Last active March 3, 2025 15:37
Nvidia H200 Hashcat Benchmarks
# For -m 1000 NTLM, I tested a backend vec of 8 as well as defaults.
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.127.05 Driver Version: 550.127.05 CUDA Version: 12.4 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA H200 On | 00000000:29:00.0 Off | 0 |
| N/A 26C P0 74W / 700W | 1MiB / 143771MiB | 0% Default |
@lepomiz
lepomiz / RTX4090-CUDA-12.2.txt
Last active February 19, 2025 16:43
RTX4090-CUDA-12.2-Benchmarks
# For -m 1000 NTLM, I tested a backend vec of 8 as well as defaults.
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.113.01 Driver Version: 535.113.01 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 4090 On | 00000000:62:00.0 Off | Off |
| 30% 27C P8 22W / 350W | 2MiB / 24564MiB | 0% Default |
@lepomiz
lepomiz / RTX5090-OpenCL-3.0.txt
Last active February 19, 2025 17:05
RTX5090-OpenCL-3.0-Benchmarks
# CUDA not installed properly on vast.ai system. To my knowledge, cant do much.
# NTLM was also tested with backend-vector of 8
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.86.16 Driver Version: 570.86.16 CUDA Version: 12.8 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 5090 On | 00000000:01:00.0 On | N/A |
@lepomiz
lepomiz / H100-CUDA-12.7.txt
Created February 19, 2025 17:38
H100-CUDA-12.7-Benchmarks
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 565.57.01 Driver Version: 565.57.01 CUDA Version: 12.7 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA H100 NVL On | 00000000:4F:00.0 Off | 0 |
| N/A 34C P0 62W / 400W | 1MiB / 95830MiB | 0% Default |
@lepomiz
lepomiz / RTX4080-CUDA12.8.txt
Created February 19, 2025 18:22
RTX4080-CUDA12.8-Benchmarks
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.86.10 Driver Version: 570.86.10 CUDA Version: 12.8 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA GeForce RTX 4080 On | 00000000:00:05.0 Off | N/A |
| 0% 17C P8 13W / 320W | 2MiB / 16376MiB | 0% Default |
@lepomiz
lepomiz / RTX6000ADA-CUDA-12.6-Benchmarks .txt
Created February 19, 2025 19:28
RTX6000ADA-CUDA-12.6-Benchmarks
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03 Driver Version: 560.35.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
| 0 NVIDIA RTX 6000 Ada Gene... On | 00000000:41:00.0 Off | 0 |
| 30% 31C P8 28W / 300W | 1MiB / 46068MiB | 0% Default |
@lepomiz
lepomiz / Quotes.txt
Created March 23, 2025 21:27
Quotes
Quotes
Me
- Preach through practice.
- Be a fucking monster act like you own the place. Build up your ego but stay humble and remember to learn.
- Why?
- Operate With Purpose
- Ask yourself what is the purpose of this experience, activity, etc.
- Do it for yourself and understand why. Don’t need to analyze everything but answering the why may give you additional motivation to continue or stop.
- Be selfish and purposeful, yet humble and compassionate.
@lepomiz
lepomiz / 8xRTX5090-CUDA12.8.txt
Created May 8, 2025 13:22
8xRTX5090-CUDA12.8
(main) [email protected]:/workspace/hashcat-6.2.6$ ./hashcat.bin -b
hashcat (v6.2.6) starting in benchmark mode
Benchmarking uses hand-optimized kernel code by default.
You can use it in your cracking session by setting the -O option.
Note: Using optimized kernel code limits the maximum supported password length.
To disable the optimized kernel code in benchmark mode, use the -w option.
CUDA API (CUDA 12.8)
====================