Supermicro Super Server
Geekbench ML Score
4384
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 01:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAV-LVDS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700E |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 30.0 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% |
2587
484.0 IPS |
|
|
Image Classification (F16)
|
100% |
2589
484.5 IPS |
|
|
Image Classification (I8)
|
99% |
4289
802.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1931
32.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1915
32.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2771
46.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7764
9.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
7756
9.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
25394
30.8 IPS |
|
|
Object Detection (F32)
|
100% |
2214
165.3 IPS |
|
|
Object Detection (F16)
|
100% |
2222
165.9 IPS |
|
|
Object Detection (I8)
|
62% |
2284
170.5 IPS |
|
|
Face Detection (F32)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (F16)
|
100% |
4152
49.4 IPS |
|
|
Face Detection (I8)
|
89% |
4310
51.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8905
69.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8962
69.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
15973
123.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18012
23.7 IPS |
|
|
Style Transfer (F16)
|
100% |
17964
23.6 IPS |
|
|
Style Transfer (I8)
|
98% |
21156
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4006
143.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3986
142.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5768
206.0 IPS |
|
|
Text Classification (F32)
|
100% |
1851
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1896
2.73 KIPS |
|
|
Text Classification (I8)
|
98% |
534
767.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2943
54.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2915
53.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3700
68.1 IPS |
