Google Pixel 8a
Geekbench AI Score
366
Single Precision Score
3830
Half Precision Score
6708
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 09:40 PM |
| Views | 6 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
3475
646.2 IPS |
|
|
Image Classification (Q)
|
99% |
5720
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
6800
110.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13763
223.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30895
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
60844
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
4080
323.6 IPS |
|
|
Object Detection (Q)
|
87% |
4525
363.0 IPS |
|
|
Face Detection (SP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (HP)
|
100% |
11987
142.4 IPS |
|
|
Face Detection (Q)
|
97% |
25126
299.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
26129
201.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
29697
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
603
0.77 IPS |
|
|
Style Transfer (Q)
|
73% |
2943
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13326
493.8 IPS |
|
|
Text Classification (SP)
|
100% |
319
426.2 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.3 IPS |
|
|
Text Classification (Q)
|
92% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
57% |
313
7.65 IPS |
