Google Pixel 8a
Geekbench AI Score
923
Single Precision Score
1364
Half Precision Score
1037
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 03:44 PM |
| Views | 5 |
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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
97% |
408
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1552
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4975
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
12134
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11463
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
99% |
620
49.2 IPS |
|
|
Object Detection (Q)
|
83% |
582
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2588
30.7 IPS |
|
|
Face Detection (Q)
|
96% |
2410
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5641
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4422
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7464
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
19730
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18602
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2138
79.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
131.8 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.8 IPS |
|
|
Text Classification (Q)
|
32% |
12
156.6 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.89 IPS |
