Micro-Star International Co., Ltd. MS-7C91
Geekbench ML Score
2494
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 11:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1624
303.8 IPS |
|
|
Image Classification (F16)
|
100% |
1446
270.5 IPS |
|
|
Image Classification (I8)
|
97% |
2842
531.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1310
21.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
1605
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4266
5.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
3720
4.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
8632
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1419
105.9 IPS |
|
|
Object Detection (F16)
|
100% |
1192
89.0 IPS |
|
|
Object Detection (I8)
|
60% |
1640
122.4 IPS |
|
|
Face Detection (F32)
|
100% |
2034
24.2 IPS |
|
|
Face Detection (F16)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (I8)
|
87% |
3033
36.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5271
40.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4133
32.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
7954
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8847
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
10359
13.6 IPS |
|
|
Style Transfer (I8)
|
85% |
10712
14.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2212
79.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2082
74.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3038
108.5 IPS |
|
|
Text Classification (F32)
|
100% |
1564
2.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1180
1.70 KIPS |
|
|
Text Classification (I8)
|
94% |
336
483.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
31.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1602
29.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2315
42.6 IPS |
