Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
1062
Single Precision Score
614
Half Precision Score
1112
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 02:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3400G |
| 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% |
781
145.3 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.8 IPS |
|
|
Image Classification (Q)
|
96% |
824
153.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1594
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1329
1.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
1633
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
791
62.8 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.1 IPS |
|
|
Object Detection (Q)
|
58% |
599
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (Q)
|
96% |
2144
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2162
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
974
7.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
2068
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4060
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3498
4.50 IPS |
|
|
Style Transfer (Q)
|
87% |
3694
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
793
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
655
873.8 IPS |
|
|
Text Classification (HP)
|
100% |
356
474.7 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.3 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.73 IPS |
|
|
Machine Translation (Q)
|
68% |
745
14.4 IPS |
