Google Pixel 6a
Geekbench AI Score
847
Single Precision Score
1164
Half Precision Score
974
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 07:07 PM |
| Views | 6 |
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 | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
97% |
515
96.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1928
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
9734
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9546
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
99% |
485
38.4 IPS |
|
|
Object Detection (Q)
|
83% |
436
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (Q)
|
96% |
2416
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4135
32.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3535
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9755
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18964
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18322
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1995
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1940
71.9 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.1 IPS |
|
|
Text Classification (HP)
|
29% |
11
192.5 IPS |
|
|
Text Classification (Q)
|
29% |
11
192.4 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (Q)
|
43% |
56
3.23 IPS |
