Google Pixel 6
Geekbench AI Score
965
Single Precision Score
959
Half Precision Score
1770
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | CoreRemnant |
| Upload Date | August 15 2024 05:11 PM |
| Views | 7 |
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% |
482
89.6 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
100% |
1298
241.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2001
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2826
3.35 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
87% |
1177
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2686
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1712
13.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
1716
13.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
2979
24.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3076
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
3075
3.99 IPS |
|
|
Style Transfer (Q)
|
98% |
6435
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1653
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
551
736.1 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.5 IPS |
|
|
Text Classification (Q)
|
88% |
1054
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
536
19.0 IPS |
