Google Pixel 6a
Geekbench AI Score
991
Single Precision Score
965
Half Precision Score
1804
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 08:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
100% |
1318
245.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1483
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2917
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
1210
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (Q)
|
95% |
2718
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1750
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1735
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2658
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3135
4.07 IPS |
|
|
Style Transfer (HP)
|
89% |
3174
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
6574
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1732
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
585
781.0 IPS |
|
|
Text Classification (HP)
|
100% |
575
767.9 IPS |
|
|
Text Classification (Q)
|
88% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
598
21.2 IPS |
