Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
663
Single Precision Score
612
Half Precision Score
659
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 16 2025 02:18 PM |
| 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% |
441
82.1 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
100% |
374
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
489
7.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
748
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
752
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
87% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (Q)
|
97% |
1007
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
962
7.41 IPS |
|
|
Depth Estimation (HP)
|
100% |
955
7.36 IPS |
|
|
Depth Estimation (Q)
|
79% |
987
7.83 IPS |
|
|
Style Transfer (SP)
|
100% |
2161
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2198
2.83 IPS |
|
|
Style Transfer (Q)
|
98% |
2220
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
483
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
511
681.8 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.2 IPS |
|
|
Text Classification (Q)
|
91% |
368
494.4 IPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
90% |
694
12.1 IPS |
