Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
619
Single Precision Score
646
Half Precision Score
639
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 16 2025 12:53 PM |
| Views | 9 |
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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
100% |
316
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
99% |
425
6.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
756
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
87% |
368
29.5 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
1242
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
944
7.27 IPS |
|
|
Depth Estimation (HP)
|
100% |
1014
7.81 IPS |
|
|
Depth Estimation (Q)
|
79% |
1038
8.23 IPS |
|
|
Style Transfer (SP)
|
100% |
2167
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2273
2.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2285
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
431
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
457
609.9 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.5 IPS |
|
|
Text Classification (Q)
|
91% |
384
516.8 IPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
90% |
624
10.8 IPS |
