Caxilysh A10
Geekbench AI Score
147
Single Precision Score
153
Half Precision Score
306
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 08:38 PM |
| Views | 4 |
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% |
63
11.6 IPS |
|
|
Image Classification (HP)
|
100% |
64
12.0 IPS |
|
|
Image Classification (Q)
|
100% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
80
1.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
594
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.57 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.61 IPS |
|
|
Object Detection (Q)
|
83% |
175
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
152
1.80 IPS |
|
|
Face Detection (HP)
|
100% |
152
1.81 IPS |
|
|
Face Detection (Q)
|
95% |
381
4.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
179
1.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
181
1.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
437
4.00 IPS |
|
|
Style Transfer (SP)
|
89% |
614
0.80 IPS |
|
|
Style Transfer (HP)
|
89% |
926
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
1850
2.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
172
6.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
524
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.0 IPS |
|
|
Text Classification (HP)
|
100% |
120
159.8 IPS |
|
|
Text Classification (Q)
|
88% |
136
182.9 IPS |
|
|
Machine Translation (SP)
|
100% |
166
2.86 IPS |
|
|
Machine Translation (HP)
|
100% |
163
2.80 IPS |
|
|
Machine Translation (Q)
|
50% |
70
2.49 IPS |
