Caxilysh A10
Geekbench AI Score
232
Single Precision Score
230
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 17 2025 06:26 PM |
| Views | 1 |
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% |
123
22.8 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (Q)
|
100% |
371
69.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
472
7.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
527
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
1038
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.49 IPS |
|
|
Object Detection (Q)
|
83% |
329
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.33 IPS |
|
|
Face Detection (Q)
|
95% |
750
8.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
920
8.42 IPS |
|
|
Style Transfer (SP)
|
89% |
1031
1.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1073
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2021
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
192
7.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
190
7.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
114
152.7 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.6 IPS |
|
|
Text Classification (Q)
|
88% |
121
163.6 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
174
3.00 IPS |
|
|
Machine Translation (Q)
|
50% |
66
2.35 IPS |
