Micro-Star International Co., Ltd. MS-7C56
Geekbench ML Score
3111
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| 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 | 96.0 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% |
1678
314.0 IPS |
|
|
Image Classification (F16)
|
100% |
1572
294.1 IPS |
|
|
Image Classification (I8)
|
97% |
3251
608.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1680
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1688
28.2 IPS |
|
|
Image Segmentation (I8)
|
97% |
1780
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4425
5.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
4270
5.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
10734
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
1778
132.8 IPS |
|
|
Object Detection (F16)
|
100% |
1597
119.2 IPS |
|
|
Object Detection (I8)
|
60% |
1482
110.7 IPS |
|
|
Face Detection (F32)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (F16)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (I8)
|
87% |
4526
53.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6851
53.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5622
43.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
10505
81.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11959
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
13161
17.3 IPS |
|
|
Style Transfer (I8)
|
85% |
14670
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2677
95.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3034
108.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3163
113.0 IPS |
|
|
Text Classification (F32)
|
100% |
1448
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1612
2.32 KIPS |
|
|
Text Classification (I8)
|
94% |
322
462.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2178
40.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2197
40.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2407
44.3 IPS |
