Google skywalker
Geekbench AI Score
152
Single Precision Score
125
Half Precision Score
134
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 03:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
103
19.2 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
99% |
92
17.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
127
2.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
125
2.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
59
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
58
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.76 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.40 IPS |
|
|
Object Detection (Q)
|
86% |
67
5.38 IPS |
|
|
Face Detection (SP)
|
100% |
310
3.69 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
271
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
180
1.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
123
0.94 IPS |
|
|
Depth Estimation (Q)
|
62% |
98
0.94 IPS |
|
|
Style Transfer (SP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
271
0.35 IPS |
|
|
Style Transfer (Q)
|
98% |
270
0.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
100
3.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
82
3.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
81
3.01 IPS |
|
|
Text Classification (SP)
|
100% |
119
159.4 IPS |
|
|
Text Classification (HP)
|
100% |
119
159.5 IPS |
|
|
Text Classification (Q)
|
91% |
292
393.0 IPS |
|
|
Machine Translation (SP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.68 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.48 IPS |
