BIOSTAR Group A10N-8800E
Geekbench AI Score
286
Single Precision Score
198
Half Precision Score
331
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 11:31 AM |
| 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% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (Q)
|
96% |
265
49.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
163
2.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
335
0.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
500
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
101
7.99 IPS |
|
|
Object Detection (Q)
|
58% |
192
20.9 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
251
2.99 IPS |
|
|
Face Detection (Q)
|
96% |
714
8.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
562
4.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
630
5.03 IPS |
|
|
Style Transfer (SP)
|
100% |
1296
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1112
1.43 IPS |
|
|
Style Transfer (Q)
|
87% |
1375
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
250
9.26 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.3 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.3 IPS |
|
|
Text Classification (Q)
|
97% |
112
149.7 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.96 IPS |
|
|
Machine Translation (Q)
|
68% |
222
4.30 IPS |
