Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
2612
Single Precision Score
1135
Half Precision Score
3193
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| 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 | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.7 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
96% |
2837
529.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
3306
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5632
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4019
4.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
6060
7.16 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (Q)
|
58% |
1972
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
5597
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6124
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1659
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6299
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11731
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9322
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10137
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2015
74.7 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
504
673.3 IPS |
|
|
Text Classification (Q)
|
97% |
802
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1705
32.9 IPS |
