Google Pixel 8a
Geekbench AI Score
899
Single Precision Score
1413
Half Precision Score
1034
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 02:32 AM |
| Views | 15 |
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% |
294
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
97% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4886
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
11729
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11575
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (HP)
|
99% |
809
64.1 IPS |
|
|
Object Detection (Q)
|
83% |
561
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2578
30.6 IPS |
|
|
Face Detection (Q)
|
96% |
2398
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3271
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5600
43.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4366
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7458
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
19615
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18386
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1951
72.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.9 IPS |
|
|
Text Classification (Q)
|
32% |
14
186.1 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
43% |
68
3.93 IPS |
