Supermicro Super Server
Geekbench ML Score
4109
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 01:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAV-LVDS |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700E |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.88 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 4.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2514
470.4 IPS |
|
|
Image Classification (F16)
|
100% |
2497
467.3 IPS |
|
|
Image Classification (I8)
|
99% |
4429
828.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1886
31.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1881
31.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3063
51.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8322
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8330
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25308
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
1922
143.5 IPS |
|
|
Object Detection (F16)
|
100% |
1914
142.9 IPS |
|
|
Object Detection (I8)
|
62% |
2217
165.5 IPS |
|
|
Face Detection (F32)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (F16)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (I8)
|
89% |
3557
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8437
65.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8392
65.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15323
118.8 IPS |
|
|
Style Transfer (F32)
|
100% |
19171
25.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19343
25.4 IPS |
|
|
Style Transfer (I8)
|
98% |
14480
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4365
155.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4368
156.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5817
207.8 IPS |
|
|
Text Classification (F32)
|
100% |
1811
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1810
2.60 KIPS |
|
|
Text Classification (I8)
|
98% |
561
806.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2481
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2449
45.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3086
56.8 IPS |
