Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
3276
Single Precision Score
1486
Half Precision Score
5199
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 11:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (HP)
|
100% |
633
117.7 IPS |
|
|
Image Classification (Q)
|
96% |
5650
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
916
14.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
6405
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4604
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3744
4.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
10076
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
58% |
2909
317.8 IPS |
|
|
Face Detection (SP)
|
100% |
4271
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
96% |
7115
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5642
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1977
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9032
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10780
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9088
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
13533
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1784
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3741
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1145
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
68% |
3653
70.6 IPS |
