Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2805
Single Precision Score
1328
Half Precision Score
4106
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| 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 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2650
492.9 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
96% |
4198
784.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
8716
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (Q)
|
58% |
2797
305.6 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
6694
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4599
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1578
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8623
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10443
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8665
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
9571
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2922
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3039
58.7 IPS |
