Micro-Star International Co., Ltd. MS-7C91
Geekbench ML Score
2729
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 03 2025 09:38 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1379
258.0 IPS |
|
|
Image Classification (F16)
|
100% |
1425
266.7 IPS |
|
|
Image Classification (I8)
|
97% |
2799
523.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1477
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1611
26.9 IPS |
|
|
Image Segmentation (I8)
|
97% |
1720
28.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4579
5.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
3603
4.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
8817
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (I8)
|
60% |
1650
123.2 IPS |
|
|
Face Detection (F32)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (F16)
|
100% |
2578
30.7 IPS |
|
|
Face Detection (I8)
|
87% |
3688
43.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5328
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4593
35.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
8682
67.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9346
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10696
14.1 IPS |
|
|
Style Transfer (I8)
|
85% |
13783
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2074
74.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2093
74.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2959
105.7 IPS |
|
|
Text Classification (F32)
|
100% |
1703
2.45 KIPS |
|
|
Text Classification (F16)
|
100% |
1693
2.43 KIPS |
|
|
Text Classification (I8)
|
94% |
399
572.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2004
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1927
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2499
46.0 IPS |
