Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
1099
Single Precision Score
637
Half Precision Score
1157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 12:22 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% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (Q)
|
96% |
885
165.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (Q)
|
97% |
845
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1630
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1390
1.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
1650
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
796
63.2 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
610
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
96% |
2069
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2066
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
1996
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4100
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3615
4.65 IPS |
|
|
Style Transfer (Q)
|
87% |
3637
4.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
770
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
436
582.3 IPS |
|
|
Text Classification (Q)
|
97% |
587
785.9 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
68% |
845
16.3 IPS |
