Chick3nman

NVIDIA Driver Version: 522.25        CUDA Version: 11.8

Credit: blazer
For benchmarking the card and allowing me to release the benchmarks here 

The hashcat installation used includes a change to the tuning ALIAS.hctune file to include the RTX 4090 as "ALIAS_nv_sm50_or_higher".
The "Kernel exec timeout" warning is cosmetic and does not affect the speed of any of the benchmarked modes.
Benchmark was run at stock clocks on an Asus Strix 4090.

Chick3nman

Apple M1 Ultra, 20 Core CPU, 48 Core GPU, 64GB of RAM, 1TB SSD

Thanks to @fhlipZero(https://twitter.com/fhlipZero) for running the benchmark on his hardware and allowing me to publish it.
A copy of both a short benchmark and the following full run can be found at https://gist.github.com/fhlip0



hashcat (v6.2.5-340-g98b89e43d) starting in benchmark mode

Benchmarking uses hand-optimized kernel code by default.

Chick3nman

Cracked
dereks:.oJ5rZE.RRXok:far4go
grave:aanUtDHnvSlVI:dna123
rob:aaz3g8y/dXP1w:VisualS
gilley:le/JhfNsDdX9g:cvxbox
anonymous:x9yo5frGqJf3o:$HEX[00]
marvin:aaX2sSwbh9WQI:monkey
madsdyd:aaalnfX0tOz3g:bargle
rpete:aa578sRYRN0nA:Vito3
ni:aa5LvwxC.VDYg:wettshir

Chick3nman

NVIDIA Driver Version: 450.80.02       CUDA Version: 11.0

This is the PCIE variant of the Nvidia Tesla A100 GPU
The PCIE variant is limited to 250W and this limit is visible in the faster algorithms benchmarked
Clock speed is also limited on this card, which explains some of the numbers being lower than expected
When comparing to the RTX 3090, consider the difference in Power and Clock speed limitation, as well as the use of HBM2e memory instead of GDDR6x
A benchmark of the full SMX4 A100 variant will follow as I get access


hashcat (v6.1.1) starting in benchmark mode...

Chick3nman

NVIDIA Driver Version: 456.38       CUDA Version: 11.1

Credit: blazer
For benchmarking the card and allowing me to release the benchmarks here 

There are some warnings about the CUDA Toolkit/Driver version but they dont appear to affect functionality or speed. 
It appears to be some sort of version missmatch issue during detection and is seemingly just cosmetic. Noted for further investigation.


hashcat (v6.1.1-83-g90fb4aad) starting in benchmark mode...

Chick3nman

NVIDIA Driver Version: 455.23.05       CUDA Version: 11.1

Credit: r4d1x 
For benchmarking the card and allowing me to release the benchmarks here 

There are a handful of algorithms failing, mostly appears related to SCRYPT and
is liking a tuning issue or small driver issue that we will need to take a look at.
Otherwise, seems fairly stable.

Chick3nman

NVIDIA Driver Version: 441.66       CUDA Version: 10.2

Fans were set to 100% for the duration of the benchmark.

hashcat (v6.0.0) 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.

Chick3nman

This is a benchmark of the BETA CUDA branch of Hashcat, designed to run with both CUDA and OpenCL devices.

The Jetson Nano Dev Kit is an ARM SBC with a Jetson Nano (Maxwell 128 CUDA core) module attached.

Some modes failed due to the limitations of such a lower power GPU.

Access to the Jetson Nano was provided by Gridcoin(https://gridcoin.us/) Community member sodom89.


hashcat (v5.1.0-1029-g523e0f71) starting in benchmark mode...

Chick3nman

Nvidia Driver Version: 419.35

Fans were set to 100% for duration of the benchmark.


hashcat (v5.1.0-749-g5ecbcde9+) starting in benchmark mode...

OpenCL Platform #1: NVIDIA Corporation
======================================
* Device #1: TITAN RTX, 6144/24576 MB allocatable, 72MCU

Chick3nman

hashcat (v4.2.1) starting in benchmark mode...

OpenCL Platform #1: Intel(R) Corporation
========================================
* Device #1: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz, skipped.

OpenCL Platform #2: NVIDIA Corporation
======================================
* Device #2: GeForce RTX 2080, 2048/8192 MB allocatable, 46MCU