Google Pixel 8a
Geekbench AI Score
905
Single Precision Score
1340
Half Precision Score
989
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:39 PM |
| Views | 11 |
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% |
413
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1552
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
12339
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11951
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
99% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
83% |
576
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
2106
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (Q)
|
96% |
2366
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3225
24.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5410
41.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4263
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7502
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
19886
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18516
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1431
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.4 IPS |
|
|
Text Classification (Q)
|
32% |
11
148.2 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.73 IPS |
