Google Pixel 6a
Geekbench AI Score
837
Single Precision Score
1217
Half Precision Score
964
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 06:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
97% |
530
98.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5701
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9646
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
99% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (Q)
|
96% |
2431
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2904
22.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4510
34.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3607
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9463
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19289
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1981
73.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.7 IPS |
|
|
Text Classification (HP)
|
29% |
12
205.4 IPS |
|
|
Text Classification (Q)
|
29% |
9
157.2 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
43% |
60
3.46 IPS |
