Google Pixel 6a
Geekbench AI Score
880
Single Precision Score
864
Half Precision Score
1492
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 12:09 PM |
| Views | 2 |
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% |
496
92.3 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
100% |
1303
242.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
565
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
2593
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (Q)
|
83% |
1116
90.2 IPS |
|
|
Face Detection (SP)
|
100% |
1284
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (Q)
|
95% |
2398
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1456
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1889
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2634
3.42 IPS |
|
|
Style Transfer (HP)
|
89% |
2633
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5269
6.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1296
48.0 IPS |
|
|
Text Classification (SP)
|
100% |
413
551.4 IPS |
|
|
Text Classification (HP)
|
100% |
425
567.9 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
