Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
2189
Single Precision Score
3511
Half Precision Score
1562
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 02:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 11 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (HP)
|
100% |
1419
263.8 IPS |
|
|
Image Classification (Q)
|
100% |
735
136.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10707
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20137
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7616
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (HP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (Q)
|
88% |
790
63.3 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
1297
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4834
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8353
64.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3562
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18523
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32568
41.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12227
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3054
112.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5909
218.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1852
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
576
771.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
70% |
452
8.48 IPS |
