BIOSTAR Group A10N-8800E
Geekbench AI Score
232
Single Precision Score
172
Half Precision Score
312
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 11:10 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% |
94
17.5 IPS |
|
|
Image Classification (HP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (Q)
|
96% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
153
2.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
487
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.07 IPS |
|
|
Object Detection (Q)
|
58% |
179
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
96% |
678
8.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
287
2.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
624
4.98 IPS |
|
|
Style Transfer (SP)
|
100% |
957
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (Q)
|
87% |
1178
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
152
5.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
204
7.58 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.3 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.0 IPS |
|
|
Text Classification (Q)
|
97% |
110
147.3 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
95
1.64 IPS |
|
|
Machine Translation (Q)
|
68% |
245
4.73 IPS |
