Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2088
Single Precision Score
990
Half Precision Score
2503
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:21 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1530
284.6 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.7 IPS |
|
|
Image Classification (Q)
|
96% |
1907
356.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
2511
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3425
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
4036
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
485
38.5 IPS |
|
|
Object Detection (Q)
|
58% |
1435
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
3383
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
4321
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4343
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1446
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4552
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8636
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6667
8.57 IPS |
|
|
Style Transfer (Q)
|
87% |
8367
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1674
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.1 IPS |
|
|
Text Classification (Q)
|
97% |
728
974.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1742
33.7 IPS |
