BIOSTAR Group B650MT
Geekbench AI Score
7095
Single Precision Score
10626
Half Precision Score
5378
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 12:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | BIOSTAR Group B650MT |
| Motherboard | BIOSTAR Group B650MT |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (HP)
|
100% |
3988
741.6 IPS |
|
|
Image Classification (Q)
|
100% |
2731
507.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3592
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3815
61.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2904
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35151
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70817
82.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
26546
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (Q)
|
87% |
2263
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
5373
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
10640
126.4 IPS |
|
|
Face Detection (Q)
|
97% |
4617
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16063
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25129
193.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12618
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58578
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98559
126.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40223
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12027
444.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20078
741.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7647
283.2 IPS |
|
|
Text Classification (SP)
|
100% |
2010
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1460
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1624
30.5 IPS |
