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.

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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Python Tests 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GPU-SERVER-2U-2xA5000
April 15
  1 Minute
2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX
April 15
  28 Minutes
NVIDIA GA102GL
April 15
  1 Minute
Invert Hiding All Results Option
  10 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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: Processor: 2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads), Motherboard: Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC, Disk: 2 x 1920GB SAMSUNG MZ7LH1T9, Graphics: NVIDIA GA102GL [RTX A5000] 24GB, Audio: NVIDIA GA102 HD Audio, Network: 2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350 OS: Ubuntu 22.04, Kernel: 5.15.0-102-generic (x86_64), Display Driver: NVIDIA, Vulkan: 1.3.277, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1024x768 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX: Processor: 2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads), Motherboard: Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC, Disk: 2 x 1920GB SAMSUNG MZ7LH1T9, Graphics: NVIDIA GA102GL [RTX A5000] 24GB, Audio: NVIDIA GA102 HD Audio, Network: 2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350 OS: Ubuntu 22.04, Kernel: 5.15.0-102-generic (x86_64), Display Driver: NVIDIA, Vulkan: 1.3.277, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1024x768 NVIDIA GA102GL: Processor: 2 x Intel Xeon E5-2697 v4 @ 3.60GHz (36 Cores / 72 Threads), Motherboard: Dell PowerEdge R730 [0WCJNT] (2.19.0 BIOS), Chipset: Intel Xeon E7 v4/Xeon, Memory: 8 x 32 GB DDR4-2400MT/s M393A4K40CB1-CRC, Disk: 2 x 1920GB SAMSUNG MZ7LH1T9, Graphics: NVIDIA GA102GL [RTX A5000] 24GB, Audio: NVIDIA GA102 HD Audio, Network: 2 x Intel 10-Gigabit X540-AT2 + 2 x Intel I350 OS: Ubuntu 22.04, Kernel: 5.15.0-102-generic (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.4.125, Vulkan: 1.3.277, Compiler: GCC 12.3.0, File-System: ext4, Screen Resolution: 1024x768 AI Benchmark Alpha 0.1.2 Score > Higher Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX . 27.48 |====================== PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX . 10.39 |====================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX . 23.10 |====================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX . 22.57 |====================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX . 23.84 |====================== PyTorch 2.2.1 Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better 2 x Intel Xeon E5-2697 v4 - NVIDIA GA102GL [RTX . 33.72 |====================== Hashcat 6.2.4 Benchmark: SHA-512 H/s > Higher Is Better NVIDIA GA102GL . 3986400000 |==================================================