Google Pixel 8a
Geekbench AI Score
923
Single Precision Score
1365
Half Precision Score
1047
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:37 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
97% |
474
88.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1607
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4951
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
11981
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11736
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
83% |
569
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (Q)
|
96% |
2430
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3305
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5526
42.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4365
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7465
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
19474
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18460
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2022
74.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.3 IPS |
|
|
Text Classification (HP)
|
35% |
18
160.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
155.8 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.83 IPS |
