Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
1996
Single Precision Score
2883
Half Precision Score
1565
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | December 12 2024 07:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 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% |
862
160.3 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.2 IPS |
|
|
Image Classification (Q)
|
99% |
766
142.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
863
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8375
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15127
17.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
6843
8.01 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
1095
86.8 IPS |
|
|
Object Detection (Q)
|
89% |
792
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
1538
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5007
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6924
53.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
3668
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14369
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23585
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11715
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4900
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2127
78.8 IPS |
|
|
Text Classification (SP)
|
100% |
678
905.4 IPS |
|
|
Text Classification (HP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
442
591.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
60% |
398
8.97 IPS |
