Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
2552
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 10:18 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 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% |
1343
251.3 IPS |
|
|
Image Classification (F16)
|
100% |
1288
241.1 IPS |
|
|
Image Classification (I8)
|
99% |
2564
479.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1357
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1831
30.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3133
3.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3242
3.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
10114
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1322
98.7 IPS |
|
|
Object Detection (F16)
|
100% |
1283
95.8 IPS |
|
|
Object Detection (I8)
|
62% |
1358
101.4 IPS |
|
|
Face Detection (F32)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (F16)
|
100% |
3243
38.6 IPS |
|
|
Face Detection (I8)
|
89% |
3819
45.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4269
33.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4200
32.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
8799
68.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9046
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8701
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
16434
21.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1905
68.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1799
64.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3526
125.9 IPS |
|
|
Text Classification (F32)
|
100% |
1168
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1177
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
451
647.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1685
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1691
31.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2601
47.9 IPS |
