Google Pixel 9a
Geekbench AI Score
342
Single Precision Score
4707
Half Precision Score
9525
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 07 2025 10:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
6785
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
11662
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
9380
152.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19638
319.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
32138
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
66236
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
5723
454.0 IPS |
|
|
Object Detection (Q)
|
87% |
7771
623.3 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
19427
230.8 IPS |
|
|
Face Detection (Q)
|
97% |
39015
465.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
35281
271.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
42655
392.7 IPS |
|
|
Style Transfer (SP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
658
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1790
2.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10389
383.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19505
722.8 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.9 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.8 IPS |
|
|
Text Classification (Q)
|
92% |
2610
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.97 IPS |
|
|
Machine Translation (Q)
|
57% |
344
8.41 IPS |
