Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2846
Single Precision Score
1288
Half Precision Score
5114
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 06 2025 06:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
96% |
4587
856.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
5684
92.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4302
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3481
4.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
10874
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2035
161.4 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
58% |
2981
325.7 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
96% |
7457
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1884
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9763
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10749
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8713
11.2 IPS |
|
|
Style Transfer (Q)
|
87% |
16083
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3801
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
752
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2348
45.4 IPS |
