Google Pixel 8a
Geekbench AI Score
330
Single Precision Score
3922
Half Precision Score
7077
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | December 13 2025 10:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
4488
834.6 IPS |
|
|
Image Classification (Q)
|
99% |
7344
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
7213
116.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15736
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
31251
36.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62234
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
4635
367.6 IPS |
|
|
Object Detection (Q)
|
87% |
5257
421.7 IPS |
|
|
Face Detection (SP)
|
100% |
466
5.53 IPS |
|
|
Face Detection (HP)
|
100% |
12086
143.6 IPS |
|
|
Face Detection (Q)
|
97% |
24210
288.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
450
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
27962
215.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
35007
322.3 IPS |
|
|
Style Transfer (SP)
|
100% |
619
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (Q)
|
98% |
1553
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8025
296.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14505
537.5 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.5 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (Q)
|
92% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
57% |
292
7.14 IPS |
