Supermicro Super Server
Geekbench ML Score
1215
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 15 2024 01:29 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, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.88 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
524
98.0 IPS |
|
|
Image Classification (F16)
|
100% |
525
98.2 IPS |
|
|
Image Classification (I8)
|
100% |
454
84.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1017
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
770
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3141
3.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
3174
3.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
2914
3.53 IPS |
|
|
Object Detection (F32)
|
100% |
546
40.8 IPS |
|
|
Object Detection (F16)
|
100% |
545
40.7 IPS |
|
|
Object Detection (I8)
|
54% |
479
35.8 IPS |
|
|
Face Detection (F32)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (I8)
|
89% |
995
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2077
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2071
16.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
1812
14.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9064
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9118
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
7900
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1636
58.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1635
58.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1284
45.8 IPS |
|
|
Text Classification (F32)
|
100% |
855
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
857
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
413
593.2 IPS |
|
|
Machine Translation (F32)
|
100% |
506
9.31 IPS |
|
|
Machine Translation (F16)
|
100% |
504
9.28 IPS |
|
|
Machine Translation (I8)
|
70% |
336
6.17 IPS |
