2 x Intel Xeon E5-2697 v4 testing with a Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS) and NVIDIA GA102GL [RTX A5000] 24GB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2404153-NE-GPUSERVER09
gpu-server-2u
2 x Intel Xeon E5-2697 v4 testing with a Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS) and NVIDIA GA102GL [RTX A5000] 24GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"GPU-SERVER-2U-2xA5000","2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX","NVIDIA GA102GL"
Processor,,2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads),2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads),2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads)
Motherboard,,Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS),Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS),Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS)
Chipset,,Intel Xeon E7 v4/Xeon,Intel Xeon E7 v4/Xeon,Intel Xeon E7 v4/Xeon
Memory,,8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC,8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC,8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC
Disk,,2 x 1920GB SAMSUNG MZ7LH1T9,2 x 1920GB SAMSUNG MZ7LH1T9,2 x 1920GB SAMSUNG MZ7LH1T9
Graphics,,NVIDIA GA102GL [RTX A5000] 24GB,NVIDIA GA102GL [RTX A5000] 24GB,NVIDIA GA102GL [RTX A5000] 24GB
Audio,,NVIDIA GA102 HD Audio,NVIDIA GA102 HD Audio,NVIDIA GA102 HD Audio
Network,,2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350,2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350,2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.15.0-102-generic (x86_64),5.15.0-102-generic (x86_64),5.15.0-102-generic (x86_64)
Display Driver,,NVIDIA,NVIDIA,NVIDIA
Vulkan,,1.3.277,1.3.277,1.3.277
Compiler,,GCC 12.3.0,GCC 12.3.0,GCC 12.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1024x768,1024x768,1024x768
OpenCL,,,,OpenCL 3.0 CUDA 12.4.125
,,"GPU-SERVER-2U-2xA5000","2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX","NVIDIA GA102GL"
"Hashcat - Benchmark: SHA-512 (H/s)",HIB,,,3986400000
"PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,,33.72,
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,,23.84,
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,,22.57,
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,,23.10,
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,,10.39,
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,,27.48,
"AI Benchmark Alpha - (Score)",HIB,,,