Micro-Star International Co., Ltd. MS-7C51
Geekbench AI Score
2948
Single Precision Score
4201
Half Precision Score
2132
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | goofball |
| Upload Date | August 03 2025 12:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 11 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C51 |
| Motherboard | Micro-Star International Co., Ltd. A320M-A PRO (MS-7C51) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3400G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1133
210.8 IPS |
|
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (Q)
|
100% |
986
183.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1069
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12177
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22200
25.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9502
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
100% |
1617
128.3 IPS |
|
|
Object Detection (Q)
|
88% |
1080
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
2107
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6509
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9982
76.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4894
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21065
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35715
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15661
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2667
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1069
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
677
906.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1605
27.6 IPS |
|
|
Machine Translation (Q)
|
70% |
618
11.6 IPS |
