Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
3910
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 01:08 PM |
| Views | 3 |
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% |
2040
381.8 IPS |
|
|
Image Classification (F16)
|
100% |
2075
388.2 IPS |
|
|
Image Classification (I8)
|
99% |
3752
702.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1917
32.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1836
30.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2806
46.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6702
8.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
6740
8.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
25367
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
1981
147.9 IPS |
|
|
Object Detection (F16)
|
100% |
1985
148.2 IPS |
|
|
Object Detection (I8)
|
62% |
1847
137.9 IPS |
|
|
Face Detection (F32)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (F16)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (I8)
|
89% |
4969
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7896
61.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7908
61.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
14348
111.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16521
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
16457
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26560
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3507
125.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3452
123.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5533
197.6 IPS |
|
|
Text Classification (F32)
|
100% |
1539
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1564
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
487
700.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1884
34.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1902
35.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2752
50.6 IPS |
