Google Pixel 8a
Geekbench AI Score
898
Single Precision Score
1370
Half Precision Score
1044
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 09:20 AM |
| Views | 8 |
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% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
97% |
364
67.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1785
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4912
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
11743
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11447
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
83% |
663
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (Q)
|
96% |
2396
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3316
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5570
43.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4429
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7516
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19479
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18913
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1981
73.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.6 IPS |
|
|
Text Classification (HP)
|
35% |
18
160.7 IPS |
|
|
Text Classification (Q)
|
32% |
12
155.8 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.87 IPS |
