Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
2643
Single Precision Score
1253
Half Precision Score
5001
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 11:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
96% |
4303
803.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
5427
88.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3389
3.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
10850
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
58% |
2872
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (Q)
|
96% |
7677
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5292
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1784
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9554
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10414
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8500
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
15422
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3775
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
720
960.4 IPS |
|
|
Text Classification (Q)
|
97% |
1351
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1792
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2332
45.1 IPS |
