BIOSTAR Group A960D+V2
Geekbench AI Score
231
Single Precision Score
115
Half Precision Score
306
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 16 2024 08:25 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD FX-8320E |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group A960D+V2 |
| Motherboard | BIOSTAR Group A960D+V2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD FX-8320E |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 21 Model 2 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (HP)
|
100% |
35
6.46 IPS |
|
|
Image Classification (Q)
|
96% |
232
43.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
260
4.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
87% |
613
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
42
3.33 IPS |
|
|
Object Detection (Q)
|
90% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
280
3.33 IPS |
|
|
Face Detection (HP)
|
100% |
69
0.82 IPS |
|
|
Face Detection (Q)
|
96% |
430
5.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
387
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
167
1.29 IPS |
|
|
Depth Estimation (Q)
|
76% |
459
3.69 IPS |
|
|
Style Transfer (SP)
|
100% |
939
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
890
1.14 IPS |
|
|
Style Transfer (Q)
|
87% |
1219
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
161
5.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
263
9.73 IPS |
|
|
Text Classification (SP)
|
100% |
163
218.0 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.9 IPS |
|
|
Text Classification (Q)
|
97% |
107
143.2 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.89 IPS |
|
|
Machine Translation (Q)
|
60% |
166
3.69 IPS |
