Acer Aspire XC-330
Geekbench AI Score
210
Single Precision Score
166
Half Precision Score
225
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 06:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A9-9420 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acer Aspire XC-330 |
| Motherboard | Acer Aspire XC-330 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A9-9420 |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 21 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
114
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
87
1.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
144
2.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
320
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
87% |
356
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.38 IPS |
|
|
Object Detection (HP)
|
100% |
88
7.01 IPS |
|
|
Object Detection (Q)
|
86% |
128
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (HP)
|
100% |
212
2.52 IPS |
|
|
Face Detection (Q)
|
96% |
336
4.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
373
2.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.94 IPS |
|
|
Depth Estimation (Q)
|
77% |
291
2.33 IPS |
|
|
Style Transfer (SP)
|
100% |
824
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (Q)
|
87% |
849
1.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
147
5.43 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
194
7.18 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.5 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.2 IPS |
|
|
Text Classification (Q)
|
97% |
108
144.9 IPS |
|
|
Machine Translation (SP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
113
1.94 IPS |
|
|
Machine Translation (Q)
|
60% |
195
4.35 IPS |
