Google Pixel 6a
Geekbench AI Score
871
Single Precision Score
1242
Half Precision Score
988
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:04 PM |
| Views | 3 |
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% |
490
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.9 IPS |
|
|
Image Classification (Q)
|
97% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5698
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
9808
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9589
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
83% |
453
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
2756
32.7 IPS |
|
|
Face Detection (Q)
|
96% |
2392
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3057
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4671
36.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
3453
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10003
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18579
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18808
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1171
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2021
74.9 IPS |
|
|
Text Classification (SP)
|
35% |
16
148.0 IPS |
|
|
Text Classification (HP)
|
29% |
11
194.8 IPS |
|
|
Text Classification (Q)
|
29% |
11
187.4 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
