BIOSTAR Group A10N-8800E
Geekbench AI Score
281
Single Precision Score
194
Half Precision Score
328
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:20 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% |
179
33.3 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
96% |
260
48.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
123
2.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
174
2.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
444
0.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
546
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
88
7.00 IPS |
|
|
Object Detection (Q)
|
58% |
157
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
235
2.79 IPS |
|
|
Face Detection (Q)
|
96% |
645
7.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
536
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
537
4.28 IPS |
|
|
Style Transfer (SP)
|
100% |
1294
1.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (Q)
|
87% |
1341
1.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
243
9.01 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.1 IPS |
|
|
Text Classification (HP)
|
100% |
127
170.0 IPS |
|
|
Text Classification (Q)
|
97% |
114
152.6 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
116
1.99 IPS |
|
|
Machine Translation (Q)
|
68% |
297
5.73 IPS |
