Google Pixel 6a
Geekbench AI Score
968
Single Precision Score
956
Half Precision Score
1756
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 06:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6a |
| Model ID | Google Pixel 6a |
| Motherboard | bluejay |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
498
92.5 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
100% |
1317
244.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1450
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2843
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
1175
94.9 IPS |
|
|
Face Detection (SP)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1336
15.9 IPS |
|
|
Face Detection (Q)
|
95% |
2683
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1679
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2636
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3028
3.93 IPS |
|
|
Style Transfer (HP)
|
89% |
3024
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
6329
8.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1629
60.4 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.9 IPS |
|
|
Text Classification (HP)
|
100% |
537
716.9 IPS |
|
|
Text Classification (Q)
|
88% |
1038
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
