Supermicro Super Server
Geekbench ML Score
4097
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 12:51 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, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 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% |
2515
470.6 IPS |
|
|
Image Classification (F16)
|
100% |
2484
464.7 IPS |
|
|
Image Classification (I8)
|
99% |
4392
821.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1846
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1849
30.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3027
50.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8153
9.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
8290
10.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
26759
32.4 IPS |
|
|
Object Detection (F32)
|
100% |
1892
141.2 IPS |
|
|
Object Detection (F16)
|
100% |
1882
140.5 IPS |
|
|
Object Detection (I8)
|
62% |
2206
164.7 IPS |
|
|
Face Detection (F32)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (F16)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (I8)
|
89% |
3491
41.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8354
64.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8397
65.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15096
117.1 IPS |
|
|
Style Transfer (F32)
|
100% |
19207
25.3 IPS |
|
|
Style Transfer (F16)
|
100% |
19197
25.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14411
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4421
157.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4443
158.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5948
212.4 IPS |
|
|
Text Classification (F32)
|
100% |
1795
2.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1800
2.59 KIPS |
|
|
Text Classification (I8)
|
98% |
537
772.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2507
46.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2457
45.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3177
58.5 IPS |
