Google Pixel 6
Geekbench AI Score
897
Single Precision Score
895
Half Precision Score
1630
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 11:58 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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.8 IPS |
|
|
Image Classification (Q)
|
100% |
1263
234.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1413
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1920
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
2510
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1049
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2408
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1526
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2337
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2758
3.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2782
3.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5732
7.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
902
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1565
58.0 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.2 IPS |
|
|
Text Classification (HP)
|
100% |
528
705.3 IPS |
|
|
Text Classification (Q)
|
88% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
534
19.0 IPS |
