Google Pixel 6a
Geekbench AI Score
899
Single Precision Score
919
Half Precision Score
1681
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | dmitrychou |
| Upload Date | October 05 2025 08:43 PM |
| Views | 5 |
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% |
481
89.5 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1279
237.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
9.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1402
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
2804
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1142
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2671
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1702
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1699
13.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2313
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2226
2.89 IPS |
|
|
Style Transfer (HP)
|
89% |
2979
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
6034
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1522
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.3 IPS |
|
|
Text Classification (HP)
|
100% |
502
670.1 IPS |
|
|
Text Classification (Q)
|
88% |
1010
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
50% |
548
19.5 IPS |
