BIOSTAR Group A10N-8800E
Geekbench AI Score
327
Single Precision Score
225
Half Precision Score
376
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8800P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group A10N-8800E |
| Motherboard | BIOSTAR Group A10N-8800E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD FX-8800P |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 21 Model 96 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (Q)
|
96% |
282
52.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
134
2.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
193
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
596
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.77 IPS |
|
|
Object Detection (Q)
|
58% |
197
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (Q)
|
96% |
741
8.84 IPS |
|
|
Depth Estimation (SP)
|
100% |
608
4.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
321
2.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
699
5.58 IPS |
|
|
Style Transfer (SP)
|
100% |
1419
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1246
1.60 IPS |
|
|
Style Transfer (Q)
|
87% |
1452
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
242
322.9 IPS |
|
|
Text Classification (HP)
|
100% |
147
196.7 IPS |
|
|
Text Classification (Q)
|
97% |
128
170.8 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.37 IPS |
|
|
Machine Translation (Q)
|
68% |
334
6.46 IPS |
