Google Pixel 6
Geekbench AI Score
892
Single Precision Score
887
Half Precision Score
1607
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 11:02 AM |
| Views | 1 |
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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
100% |
1251
232.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1389
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1936
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2501
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (Q)
|
83% |
1051
84.9 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2401
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1537
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1529
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2341
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2767
3.59 IPS |
|
|
Style Transfer (HP)
|
89% |
2808
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
5781
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1546
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.0 IPS |
|
|
Text Classification (HP)
|
100% |
488
651.9 IPS |
|
|
Text Classification (Q)
|
88% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
