Google Pixel 9a
Geekbench AI Score
1821
Single Precision Score
1826
Half Precision Score
2549
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 15 2025 11:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9a |
| Model ID | Google Pixel 9a |
| Motherboard | tegu |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (Q)
|
100% |
2301
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2763
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5889
6.98 IPS |
|
|
Object Detection (SP)
|
98% |
1398
111.2 IPS |
|
|
Object Detection (HP)
|
98% |
1415
112.6 IPS |
|
|
Object Detection (Q)
|
83% |
2072
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
2840
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2840
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
4858
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2901
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4580
41.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6585
8.55 IPS |
|
|
Style Transfer (HP)
|
89% |
6498
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
11769
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2686
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.3 IPS |
|
|
Text Classification (HP)
|
99% |
511
682.6 IPS |
|
|
Text Classification (Q)
|
88% |
474
639.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
503
17.8 IPS |
