Google Pixel 8a
Geekbench AI Score
302
Single Precision Score
3694
Half Precision Score
6449
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 07:00 PM |
| Views | 15 |
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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
4061
755.2 IPS |
|
|
Image Classification (Q)
|
99% |
7012
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
7466
121.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14342
233.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
30106
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
60680
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
4047
321.0 IPS |
|
|
Object Detection (Q)
|
87% |
4843
388.5 IPS |
|
|
Face Detection (SP)
|
100% |
405
4.81 IPS |
|
|
Face Detection (HP)
|
100% |
10816
128.5 IPS |
|
|
Face Detection (Q)
|
97% |
23464
279.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
407
3.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
25523
196.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
32594
300.0 IPS |
|
|
Style Transfer (SP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
1560
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12659
469.1 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.2 IPS |
|
|
Text Classification (Q)
|
92% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.41 IPS |
