Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
3698
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mweinbach |
| Upload Date | December 08 2023 04:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 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% |
1989
372.2 IPS |
|
|
Image Classification (F16)
|
100% |
1952
365.2 IPS |
|
|
Image Classification (I8)
|
99% |
3081
576.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1646
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1648
27.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2170
36.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9653
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9786
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25195
30.5 IPS |
|
|
Object Detection (F32)
|
100% |
1796
134.0 IPS |
|
|
Object Detection (F16)
|
100% |
1788
133.5 IPS |
|
|
Object Detection (I8)
|
62% |
1496
111.7 IPS |
|
|
Face Detection (F32)
|
100% |
4470
53.2 IPS |
|
|
Face Detection (F16)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (I8)
|
89% |
3870
46.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9339
72.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9341
72.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
10197
79.1 IPS |
|
|
Style Transfer (F32)
|
100% |
22272
29.3 IPS |
|
|
Style Transfer (F16)
|
100% |
22607
29.7 IPS |
|
|
Style Transfer (I8)
|
98% |
24750
32.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3647
130.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3698
132.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3785
135.2 IPS |
|
|
Text Classification (F32)
|
100% |
1230
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1236
1.78 KIPS |
|
|
Text Classification (I8)
|
98% |
296
425.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1783
32.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1780
32.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2229
41.0 IPS |
