AMD X64
Geekbench AI Score
264
Single Precision Score
147
Half Precision Score
350
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | March 11 2025 07:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A9-9820 Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | AMD X64 |
| Motherboard | AMD_BL2 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD A9-9820 Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 22 Model 38 Stepping 1 |
| Base Frequency | 2.35 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (Q)
|
96% |
289
53.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
214
3.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
506
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
810
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.66 IPS |
|
|
Object Detection (Q)
|
58% |
200
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.63 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (Q)
|
96% |
563
6.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
78% |
623
4.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1236
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
977
1.26 IPS |
|
|
Style Transfer (Q)
|
87% |
1308
1.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
275
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.0 IPS |
|
|
Text Classification (HP)
|
100% |
75
99.8 IPS |
|
|
Text Classification (Q)
|
97% |
86
115.0 IPS |
|
|
Machine Translation (SP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (HP)
|
100% |
74
1.27 IPS |
|
|
Machine Translation (Q)
|
68% |
259
5.01 IPS |
