Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
1977
Single Precision Score
969
Half Precision Score
3240
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 28 2026 06:41 AM |
| Views | 10 |
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 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
96% |
2724
508.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
3052
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
6084
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
58% |
1812
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
5126
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3934
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1382
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5965
47.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7240
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5972
7.68 IPS |
|
|
Style Transfer (Q)
|
87% |
8421
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2523
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.2 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2114
40.8 IPS |
