Google Pixel 8a
Geekbench AI Score
903
Single Precision Score
1418
Half Precision Score
1024
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:04 AM |
| Views | 3 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (Q)
|
97% |
327
61.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1587
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4983
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
11750
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11448
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
83% |
569
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2452
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3329
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5644
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4368
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7516
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19667
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18549
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2049
75.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.9 IPS |
|
|
Text Classification (HP)
|
35% |
28
256.8 IPS |
|
|
Text Classification (Q)
|
32% |
14
185.7 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.82 IPS |
