Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
1753
Single Precision Score
805
Half Precision Score
1976
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:05 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.3 IPS |
|
|
Image Classification (Q)
|
96% |
1935
361.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
1326
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2610
3.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
3017
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
58% |
1143
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (Q)
|
96% |
3259
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3351
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1190
9.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
3470
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6615
8.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5304
6.82 IPS |
|
|
Style Transfer (Q)
|
87% |
6315
8.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1262
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.7 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.2 IPS |
|
|
Text Classification (Q)
|
97% |
709
949.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
68% |
1608
31.1 IPS |
