BIOSTAR Group A520MT
Geekbench AI Score
477
Single Precision Score
312
Half Precision Score
438
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 08 2025 12:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Athlon 3000G |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | BIOSTAR Group A520MT |
| Motherboard | BIOSTAR Group A520MT |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Athlon 3000G |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
96% |
327
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
300
4.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
545
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
565
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
58% |
220
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.30 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
96% |
799
9.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
750
5.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
78% |
691
5.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1459
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1198
1.54 IPS |
|
|
Style Transfer (Q)
|
87% |
1344
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
314
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.9 IPS |
|
|
Text Classification (HP)
|
100% |
246
327.7 IPS |
|
|
Text Classification (Q)
|
97% |
200
267.7 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (Q)
|
68% |
467
9.02 IPS |
