Google Pixel 8a
Geekbench AI Score
898
Single Precision Score
1405
Half Precision Score
1048
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
97% |
389
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1765
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4901
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
12032
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11739
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (HP)
|
99% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
83% |
573
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
2100
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (Q)
|
96% |
2301
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5553
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4349
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7505
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19525
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18271
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2090
77.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
144.7 IPS |
|
|
Text Classification (HP)
|
35% |
20
186.0 IPS |
|
|
Text Classification (Q)
|
32% |
14
175.1 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
