Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
4086
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 27 2024 10:02 PM |
| 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) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
2188
409.4 IPS |
|
|
Image Classification (F16)
|
100% |
2252
421.4 IPS |
|
|
Image Classification (I8)
|
99% |
3918
733.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1811
30.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1851
30.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2813
47.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6944
8.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
7192
8.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
24241
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
2082
155.4 IPS |
|
|
Object Detection (F16)
|
100% |
2128
158.8 IPS |
|
|
Object Detection (I8)
|
62% |
1986
148.2 IPS |
|
|
Face Detection (F32)
|
100% |
4470
53.2 IPS |
|
|
Face Detection (F16)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (I8)
|
89% |
4716
56.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8177
63.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8362
64.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15159
117.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17222
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
17091
22.5 IPS |
|
|
Style Transfer (I8)
|
98% |
25001
32.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3791
135.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3934
140.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5382
192.2 IPS |
|
|
Text Classification (F32)
|
100% |
1759
2.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1724
2.48 KIPS |
|
|
Text Classification (I8)
|
98% |
521
749.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2069
38.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2078
38.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2913
53.6 IPS |
