Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2590
Single Precision Score
1142
Half Precision Score
2791
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 04:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500X |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
2701
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4884
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3837
4.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
4760
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
58% |
1610
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
3898
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
4809
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5755
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5203
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10676
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8531
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
9547
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1705
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.9 IPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1969
38.0 IPS |
