Google Pixel 8a
Geekbench AI Score
363
Single Precision Score
4060
Half Precision Score
7372
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 03:53 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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
4714
876.6 IPS |
|
|
Image Classification (Q)
|
99% |
7906
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
7483
121.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15857
257.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30655
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62092
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
3905
309.7 IPS |
|
|
Object Detection (Q)
|
87% |
5673
455.1 IPS |
|
|
Face Detection (SP)
|
100% |
533
6.33 IPS |
|
|
Face Detection (HP)
|
100% |
11754
139.7 IPS |
|
|
Face Detection (Q)
|
97% |
24363
290.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
26210
201.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34960
321.8 IPS |
|
|
Style Transfer (SP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
712
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
1805
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7556
279.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14877
551.2 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.8 IPS |
|
|
Text Classification (HP)
|
100% |
343
458.4 IPS |
|
|
Text Classification (Q)
|
92% |
1419
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
518
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.09 IPS |
