Google Pixel 6
Geekbench AI Score
954
Single Precision Score
944
Half Precision Score
1739
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Rock_man77 |
| Upload Date | December 01 2025 04:03 AM |
| Views | 20 |
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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.1 IPS |
|
|
Image Classification (Q)
|
100% |
1294
240.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1393
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1949
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1976
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2807
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
1135
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2639
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1706
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2615
23.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3044
3.95 IPS |
|
|
Style Transfer (HP)
|
89% |
3011
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6367
8.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1666
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.3 IPS |
|
|
Text Classification (HP)
|
100% |
521
694.9 IPS |
|
|
Text Classification (Q)
|
88% |
1044
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
