Google Pixel 6
Geekbench AI Score
850
Single Precision Score
1208
Half Precision Score
1006
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 23 2025 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
97% |
505
94.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1852
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9711
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
99% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
595
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (Q)
|
96% |
2261
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2984
23.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4564
35.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
3500
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9806
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18834
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18849
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2009
74.5 IPS |
|
|
Text Classification (SP)
|
35% |
15
135.7 IPS |
|
|
Text Classification (HP)
|
29% |
12
205.5 IPS |
|
|
Text Classification (Q)
|
29% |
11
184.9 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
43% |
60
3.49 IPS |
