Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
2344
Single Precision Score
3676
Half Precision Score
1674
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 12:13 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 | 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
916
170.4 IPS |
|
|
Image Classification (HP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (Q)
|
100% |
814
151.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
777
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20700
24.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
7976
9.34 IPS |
|
|
Object Detection (SP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (Q)
|
88% |
868
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
1400
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8800
67.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3847
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19162
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34032
43.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12895
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3282
121.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6198
228.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2027
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
991
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
593
794.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
70% |
475
8.92 IPS |
