Micro-Star International Co., Ltd. MS-7C95
Geekbench ML Score
3473
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 02:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 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% |
2127
398.0 IPS |
|
|
Image Classification (F16)
|
100% |
2156
403.5 IPS |
|
|
Image Classification (I8)
|
97% |
3741
700.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1885
31.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1879
31.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
2120
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6217
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
6230
7.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
11917
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1939
144.7 IPS |
|
|
Object Detection (F16)
|
100% |
1964
146.6 IPS |
|
|
Object Detection (I8)
|
60% |
1923
143.6 IPS |
|
|
Face Detection (F32)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (F16)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (I8)
|
87% |
4300
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7158
55.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7486
58.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
10933
84.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14688
19.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14640
19.3 IPS |
|
|
Style Transfer (I8)
|
85% |
15229
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2561
91.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2709
96.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3433
122.6 IPS |
|
|
Text Classification (F32)
|
100% |
1737
2.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1746
2.51 KIPS |
|
|
Text Classification (I8)
|
94% |
392
563.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2461
45.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2498
46.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2762
50.8 IPS |
