Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
2847
Single Precision Score
2913
Half Precision Score
3240
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 6-Core Processor |
| 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% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (Q)
|
100% |
2030
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4651
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4617
5.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
5106
5.99 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.0 IPS |
|
|
Object Detection (HP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (Q)
|
87% |
2182
175.0 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (Q)
|
97% |
5648
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5166
39.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5729
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12939
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12833
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
14352
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2525
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2625
96.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2912
107.9 IPS |
|
|
Text Classification (SP)
|
100% |
1775
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (Q)
|
91% |
636
854.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2495
43.0 IPS |
