Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3460
Single Precision Score
1484
Half Precision Score
4923
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:27 AM |
| Views | 4 |
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 | Balanced |
| 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% |
2909
540.9 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
96% |
5025
938.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2759
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4662
5.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
12974
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2634
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
58% |
3324
363.2 IPS |
|
|
Face Detection (SP)
|
100% |
4157
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (Q)
|
96% |
7879
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7883
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2170
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10223
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13900
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11748
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
16961
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2849
105.6 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
746
996.2 IPS |
|
|
Text Classification (Q)
|
97% |
1568
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2294
44.3 IPS |
