Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
607
Single Precision Score
594
Half Precision Score
643
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | May 16 2025 05:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | conomie d'nergie |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
100% |
421
78.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
507
8.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
756
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
690
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (Q)
|
87% |
365
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.70 IPS |
|
|
Face Detection (Q)
|
97% |
979
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
872
6.72 IPS |
|
|
Depth Estimation (HP)
|
100% |
946
7.29 IPS |
|
|
Depth Estimation (Q)
|
79% |
900
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
2171
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2215
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
2207
2.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.6 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.9 IPS |
|
|
Text Classification (Q)
|
91% |
387
519.7 IPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
90% |
692
12.0 IPS |
