Google Pixel 8a
Geekbench AI Score
904
Single Precision Score
1373
Half Precision Score
1033
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:41 PM |
| Views | 10 |
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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
460
85.5 IPS |
|
|
Image Classification (Q)
|
97% |
380
71.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1753
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4954
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
12047
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11529
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
83% |
573
46.3 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (Q)
|
96% |
2389
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5632
43.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4421
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7518
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19533
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18582
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1323
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1998
74.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
131.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
185.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
157.8 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.90 IPS |
