Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3105
Single Precision Score
1444
Half Precision Score
4844
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 10:51 AM |
| Views | 2 |
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 | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
96% |
4152
775.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
5013
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4396
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3674
4.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
9349
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (Q)
|
58% |
2947
322.0 IPS |
|
|
Face Detection (SP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
96% |
7577
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6129
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2079
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9028
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11044
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9099
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13849
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3049
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1767
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3275
63.3 IPS |
