Google Pixel 9a
Geekbench AI Score
1906
Single Precision Score
1909
Half Precision Score
2848
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 11:49 AM |
| Views | 1 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.3 IPS |
|
|
Image Classification (HP)
|
100% |
1574
292.8 IPS |
|
|
Image Classification (Q)
|
100% |
2409
448.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2492
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2797
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2686
3.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
5845
6.93 IPS |
|
|
Object Detection (SP)
|
98% |
1364
108.6 IPS |
|
|
Object Detection (HP)
|
98% |
1389
110.5 IPS |
|
|
Object Detection (Q)
|
83% |
2013
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
2801
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (Q)
|
95% |
4696
56.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2864
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2856
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4626
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6582
8.54 IPS |
|
|
Style Transfer (HP)
|
89% |
6585
8.55 IPS |
|
|
Style Transfer (Q)
|
98% |
12630
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3304
122.4 IPS |
|
|
Text Classification (SP)
|
100% |
646
862.6 IPS |
|
|
Text Classification (HP)
|
99% |
657
876.9 IPS |
|
|
Text Classification (Q)
|
88% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
