Google Pixel 8a
Geekbench AI Score
1267
Single Precision Score
1194
Half Precision Score
1851
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | December 13 2025 10:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
1298
241.4 IPS |
|
|
Image Classification (Q)
|
100% |
2276
423.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2435
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2328
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
4521
5.36 IPS |
|
|
Object Detection (SP)
|
98% |
855
68.1 IPS |
|
|
Object Detection (HP)
|
98% |
752
59.9 IPS |
|
|
Object Detection (Q)
|
83% |
969
78.2 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
2366
28.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1598
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1545
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2228
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3696
4.80 IPS |
|
|
Style Transfer (HP)
|
89% |
3588
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
6802
8.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2287
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
393
525.2 IPS |
|
|
Text Classification (HP)
|
99% |
381
509.0 IPS |
|
|
Text Classification (Q)
|
88% |
571
770.0 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
50% |
417
14.8 IPS |
