Google Pixel 8a
Geekbench AI Score
884
Single Precision Score
1345
Half Precision Score
1036
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:47 AM |
| Views | 6 |
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% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.4 IPS |
|
|
Image Classification (Q)
|
97% |
388
72.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1683
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4976
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
11987
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11850
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
99% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
83% |
582
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (Q)
|
96% |
2511
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3293
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5585
43.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
4358
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7450
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
19530
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18453
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1979
73.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
185.1 IPS |
|
|
Text Classification (Q)
|
32% |
12
156.4 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.83 IPS |
