AMD X64
Geekbench AI Score
263
Single Precision Score
147
Half Precision Score
349
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | StingerYar |
| Upload Date | March 11 2025 10:14 AM |
| Views | 13 |
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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
60
11.2 IPS |
|
|
Image Classification (Q)
|
96% |
289
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
86
1.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
216
3.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
794
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.62 IPS |
|
|
Object Detection (Q)
|
58% |
201
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.65 IPS |
|
|
Face Detection (HP)
|
100% |
179
2.13 IPS |
|
|
Face Detection (Q)
|
96% |
561
6.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
215
1.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
627
4.99 IPS |
|
|
Style Transfer (SP)
|
100% |
1250
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
990
1.27 IPS |
|
|
Style Transfer (Q)
|
87% |
1311
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
212
7.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
271
10.1 IPS |
|
|
Text Classification (SP)
|
100% |
137
182.2 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.2 IPS |
|
|
Text Classification (Q)
|
97% |
86
114.6 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
73
1.26 IPS |
|
|
Machine Translation (Q)
|
68% |
256
4.94 IPS |
