Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2156
Single Precision Score
1032
Half Precision Score
3479
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 04:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| 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 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2166
402.8 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
96% |
3021
564.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
3514
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2864
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
6158
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (Q)
|
58% |
1972
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
2795
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
5620
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4306
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6277
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7331
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
6176
7.94 IPS |
|
|
Style Transfer (Q)
|
87% |
10270
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1196
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2498
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
621
829.4 IPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1979
38.2 IPS |
