Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
622
Single Precision Score
599
Half Precision Score
632
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 16 2025 11:21 AM |
| Views | 3 |
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% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
100% |
371
68.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
425
6.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
654
0.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.9 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
87% |
387
31.0 IPS |
|
|
Face Detection (SP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
983
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
828
6.38 IPS |
|
|
Depth Estimation (HP)
|
100% |
990
7.63 IPS |
|
|
Depth Estimation (Q)
|
79% |
1013
8.03 IPS |
|
|
Style Transfer (SP)
|
100% |
2260
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
2156
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2240
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
474
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
495
661.0 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.1 IPS |
|
|
Text Classification (Q)
|
91% |
343
461.0 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
90% |
701
12.2 IPS |
