AMD X64
Geekbench AI Score
263
Single Precision Score
147
Half Precision Score
348
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | March 11 2025 05:46 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% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (Q)
|
96% |
280
52.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
209
3.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
789
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.60 IPS |
|
|
Object Detection (Q)
|
58% |
204
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
96% |
557
6.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
216
1.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
630
5.01 IPS |
|
|
Style Transfer (SP)
|
100% |
1244
1.60 IPS |
|
|
Style Transfer (HP)
|
100% |
992
1.28 IPS |
|
|
Style Transfer (Q)
|
87% |
1332
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
211
7.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
275
10.2 IPS |
|
|
Text Classification (SP)
|
100% |
133
177.7 IPS |
|
|
Text Classification (HP)
|
100% |
74
99.3 IPS |
|
|
Text Classification (Q)
|
97% |
86
115.4 IPS |
|
|
Machine Translation (SP)
|
100% |
191
3.30 IPS |
|
|
Machine Translation (HP)
|
100% |
73
1.26 IPS |
|
|
Machine Translation (Q)
|
68% |
256
4.95 IPS |
