Google skywalker
Geekbench AI Score
150
Single Precision Score
150
Half Precision Score
421
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 14 2025 01:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google skywalker |
| Model ID | Google skywalker |
| Motherboard | anakin360 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 6.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
99% |
269
50.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
319
5.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
150
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
150
0.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
622
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.79 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (Q)
|
87% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (Q)
|
97% |
650
7.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
198
1.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
199
1.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
560
5.08 IPS |
|
|
Style Transfer (SP)
|
100% |
363
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
361
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1174
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
93
3.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
93
3.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
118
158.1 IPS |
|
|
Text Classification (HP)
|
100% |
119
158.6 IPS |
|
|
Text Classification (Q)
|
91% |
292
392.2 IPS |
|
|
Machine Translation (SP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.47 IPS |
