Google Pixel 6
Geekbench AI Score
988
Single Precision Score
989
Half Precision Score
1813
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
100% |
1296
241.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1463
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
2936
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
1208
97.6 IPS |
|
|
Face Detection (SP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.6 IPS |
|
|
Face Detection (Q)
|
95% |
2793
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1733
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1751
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2741
25.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3190
4.14 IPS |
|
|
Style Transfer (HP)
|
89% |
3145
4.08 IPS |
|
|
Style Transfer (Q)
|
98% |
6556
8.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1756
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
565
753.6 IPS |
|
|
Text Classification (HP)
|
100% |
572
762.9 IPS |
|
|
Text Classification (Q)
|
88% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
607
21.5 IPS |
