Google Pixel 6
Geekbench AI Score
956
Single Precision Score
943
Half Precision Score
1767
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 06:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
481
89.5 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
100% |
1310
243.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
1428
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
2944
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
83% |
1179
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
1351
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (Q)
|
95% |
2708
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1730
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2654
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3092
4.01 IPS |
|
|
Style Transfer (HP)
|
89% |
3150
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6469
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1673
62.0 IPS |
|
|
Text Classification (SP)
|
100% |
544
725.6 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.8 IPS |
|
|
Text Classification (Q)
|
88% |
1082
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
546
19.4 IPS |
