Google Pixel 8a
Geekbench AI Score
911
Single Precision Score
1350
Half Precision Score
1006
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 09:23 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
406
75.5 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
97% |
386
72.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1557
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4860
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
12240
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12033
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (HP)
|
99% |
555
44.0 IPS |
|
|
Object Detection (Q)
|
83% |
567
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (Q)
|
96% |
2194
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3271
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5501
42.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4410
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7559
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
19744
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18451
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2114
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1980
73.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
144.1 IPS |
|
|
Text Classification (HP)
|
35% |
21
187.5 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.8 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.87 IPS |
