Micro-Star International Co., Ltd. MS-7C91
Geekbench ML Score
3154
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 12:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| 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% |
1580
295.6 IPS |
|
|
Image Classification (F16)
|
100% |
1907
356.8 IPS |
|
|
Image Classification (I8)
|
97% |
3285
614.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1840
30.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1847
30.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
1836
30.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5052
6.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
5047
6.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
9873
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
1762
131.5 IPS |
|
|
Object Detection (F16)
|
100% |
1841
137.4 IPS |
|
|
Object Detection (I8)
|
60% |
1847
137.9 IPS |
|
|
Face Detection (F32)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (I8)
|
87% |
4174
49.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6230
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5966
46.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
9327
72.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12075
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12225
16.1 IPS |
|
|
Style Transfer (I8)
|
85% |
15078
19.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2644
94.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2627
93.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3314
118.4 IPS |
|
|
Text Classification (F32)
|
100% |
1596
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1756
2.52 KIPS |
|
|
Text Classification (I8)
|
94% |
325
467.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2209
40.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2395
44.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2786
51.3 IPS |
