Supermicro Super Server
Geekbench ML Score
4437
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 12:44 PM |
| Views | 3 |
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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2508
469.4 IPS |
|
|
Image Classification (F16)
|
100% |
2519
471.3 IPS |
|
|
Image Classification (I8)
|
99% |
4412
825.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2031
33.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2024
33.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3117
52.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8527
10.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
8536
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
28778
34.8 IPS |
|
|
Object Detection (F32)
|
100% |
2250
168.0 IPS |
|
|
Object Detection (F16)
|
100% |
2009
150.0 IPS |
|
|
Object Detection (I8)
|
62% |
2206
164.7 IPS |
|
|
Face Detection (F32)
|
100% |
4152
49.4 IPS |
|
|
Face Detection (F16)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (I8)
|
89% |
4730
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
9908
76.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9993
77.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
16558
128.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20248
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
20298
26.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22719
29.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4451
159.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4472
159.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5960
212.9 IPS |
|
|
Text Classification (F32)
|
100% |
1808
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1656
2.38 KIPS |
|
|
Text Classification (I8)
|
98% |
466
669.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2280
42.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2331
42.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3203
59.0 IPS |
