Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
649
Single Precision Score
602
Half Precision Score
656
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 15 2024 04:31 PM |
| Views | 4 |
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% |
378
70.3 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.3 IPS |
|
|
Image Classification (Q)
|
100% |
382
71.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
444
7.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
706
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (Q)
|
87% |
395
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
1197
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1058
8.15 IPS |
|
|
Depth Estimation (HP)
|
100% |
1028
7.92 IPS |
|
|
Depth Estimation (Q)
|
79% |
1030
8.17 IPS |
|
|
Style Transfer (SP)
|
100% |
2223
2.86 IPS |
|
|
Style Transfer (HP)
|
100% |
2187
2.81 IPS |
|
|
Style Transfer (Q)
|
98% |
2278
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
442
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
458
610.9 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.9 IPS |
|
|
Text Classification (Q)
|
91% |
390
524.5 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
90% |
646
11.2 IPS |
