Supermicro Super Server
Geekbench ML Score
3509
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 03:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAV-LVDS-01 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900E |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1820
340.7 IPS |
|
|
Image Classification (F16)
|
100% |
1861
348.2 IPS |
|
|
Image Classification (I8)
|
99% |
3080
576.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1630
27.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1629
27.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2672
44.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6666
8.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
6651
8.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
20324
24.6 IPS |
|
|
Object Detection (F32)
|
100% |
1745
130.3 IPS |
|
|
Object Detection (F16)
|
100% |
1790
133.6 IPS |
|
|
Object Detection (I8)
|
62% |
1613
120.4 IPS |
|
|
Face Detection (F32)
|
100% |
3739
44.5 IPS |
|
|
Face Detection (F16)
|
100% |
3753
44.6 IPS |
|
|
Face Detection (I8)
|
89% |
4148
49.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6902
53.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6909
53.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
13153
102.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16405
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16585
21.8 IPS |
|
|
Style Transfer (I8)
|
98% |
20649
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3348
119.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3357
119.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4798
171.3 IPS |
|
|
Text Classification (F32)
|
100% |
1325
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1225
1.76 KIPS |
|
|
Text Classification (I8)
|
98% |
419
602.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1846
34.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1887
34.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2590
47.7 IPS |
