Micro-Star International Co., Ltd. MS-7C51
Geekbench AI Score
1160
Single Precision Score
650
Half Precision Score
1086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | goofball |
| Upload Date | August 03 2025 12:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3400G |
| 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% |
891
165.7 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1631
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1318
1.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
1583
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
566
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
1982
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
96% |
2253
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2058
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1008
7.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
2015
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4109
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
3416
4.39 IPS |
|
|
Style Transfer (Q)
|
87% |
3879
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
836
30.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
768
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
394
526.1 IPS |
|
|
Text Classification (Q)
|
97% |
307
410.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
441
7.59 IPS |
|
|
Machine Translation (Q)
|
68% |
1006
19.4 IPS |
