Google Pixel 6
Geekbench AI Score
786
Single Precision Score
783
Half Precision Score
1386
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 02:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.8 IPS |
|
|
Image Classification (Q)
|
100% |
1285
238.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
1405
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1774
2.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
2550
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
83% |
1058
85.4 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2556
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1529
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2359
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2638
3.42 IPS |
|
|
Style Transfer (HP)
|
89% |
2707
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
4710
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.2 IPS |
|
|
Text Classification (HP)
|
100% |
338
450.9 IPS |
|
|
Text Classification (Q)
|
88% |
573
773.4 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
