Caxilysh A10
Geekbench AI Score
209
Single Precision Score
208
Half Precision Score
423
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Caxilysh A10 |
| Model ID | Caxilysh A10 |
| Motherboard | exdroid |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3333 revision 0 |
| Base Frequency | 1.42 GHz |
| Cluster 1 | 4 Cores @ 1.42 GHz |
| Cluster 2 | 4 Cores @ 1.80 GHz |
| Memory Information | |
|---|---|
| Size | 2.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (Q)
|
100% |
340
63.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
502
0.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
989
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.35 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.44 IPS |
|
|
Object Detection (Q)
|
83% |
295
23.8 IPS |
|
|
Face Detection (SP)
|
100% |
239
2.85 IPS |
|
|
Face Detection (HP)
|
100% |
244
2.90 IPS |
|
|
Face Detection (Q)
|
95% |
704
8.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
325
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
322
2.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
824
7.55 IPS |
|
|
Style Transfer (SP)
|
89% |
906
1.18 IPS |
|
|
Style Transfer (HP)
|
89% |
931
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
1679
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
166
6.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
112
148.9 IPS |
|
|
Text Classification (HP)
|
100% |
113
150.4 IPS |
|
|
Text Classification (Q)
|
88% |
130
174.8 IPS |
|
|
Machine Translation (SP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (HP)
|
100% |
153
2.63 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.35 IPS |
