Google skywalker
Geekbench AI Score
657
Single Precision Score
655
Half Precision Score
1223
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.7 IPS |
|
|
Image Classification (Q)
|
100% |
819
152.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
940
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1471
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1462
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2035
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (Q)
|
83% |
810
65.5 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (Q)
|
95% |
1934
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1226
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1232
9.49 IPS |
|
|
Depth Estimation (Q)
|
64% |
1897
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2427
3.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2435
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4866
6.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
661
24.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1146
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.7 IPS |
|
|
Text Classification (HP)
|
100% |
323
431.6 IPS |
|
|
Text Classification (Q)
|
88% |
660
889.9 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
