Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
627
Single Precision Score
630
Half Precision Score
637
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 12 2024 03:31 AM |
| Views | 13 |
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% |
362
67.3 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
100% |
391
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
368
5.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
700
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
763
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
87% |
346
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
786
9.34 IPS |
|
|
Face Detection (HP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1034
7.97 IPS |
|
|
Depth Estimation (HP)
|
100% |
1042
8.03 IPS |
|
|
Depth Estimation (Q)
|
79% |
990
7.85 IPS |
|
|
Style Transfer (SP)
|
100% |
2202
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2244
2.89 IPS |
|
|
Style Transfer (Q)
|
98% |
2246
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
474
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
513
684.7 IPS |
|
|
Text Classification (HP)
|
100% |
497
663.1 IPS |
|
|
Text Classification (Q)
|
91% |
351
471.4 IPS |
|
|
Machine Translation (SP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
90% |
624
10.8 IPS |
