Google Pixel 9a
Geekbench AI Score
363
Single Precision Score
4797
Half Precision Score
8173
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 08 2025 09:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
243
45.1 IPS |
|
|
Image Classification (HP)
|
100% |
7089
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
7223
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
8395
136.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18245
296.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
32311
37.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
65045
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
5426
430.4 IPS |
|
|
Object Detection (Q)
|
87% |
5646
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.48 IPS |
|
|
Face Detection (HP)
|
100% |
16655
197.9 IPS |
|
|
Face Detection (Q)
|
97% |
33302
397.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
32622
251.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
37687
346.9 IPS |
|
|
Style Transfer (SP)
|
100% |
701
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (Q)
|
73% |
3014
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9977
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16225
601.2 IPS |
|
|
Text Classification (SP)
|
100% |
323
431.3 IPS |
|
|
Text Classification (HP)
|
100% |
336
448.0 IPS |
|
|
Text Classification (Q)
|
92% |
1295
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
57% |
346
8.47 IPS |
