Google Pixel 8a
Geekbench AI Score
904
Single Precision Score
1424
Half Precision Score
1039
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 15 2026 10:35 AM |
| Views | 12 |
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% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (Q)
|
97% |
432
80.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4946
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
11971
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11417
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
834
66.2 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (Q)
|
96% |
2422
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3326
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5504
42.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4417
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7498
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
19584
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18887
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2007
74.4 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.1 IPS |
|
|
Text Classification (HP)
|
35% |
21
191.4 IPS |
|
|
Text Classification (Q)
|
32% |
12
160.4 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.87 IPS |
