Google Pixel 9a
Geekbench AI Score
1143
Single Precision Score
1753
Half Precision Score
1314
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EriksLV |
| Upload Date | March 26 2026 04:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| 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% |
683
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.3 IPS |
|
|
Image Classification (Q)
|
97% |
648
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1702
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5364
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
13365
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12724
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
99% |
1097
87.0 IPS |
|
|
Object Detection (Q)
|
83% |
1059
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
2773
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
3332
39.6 IPS |
|
|
Face Detection (Q)
|
96% |
2931
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3720
28.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6541
50.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
5069
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8143
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21699
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20317
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1999
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2314
85.8 IPS |
|
|
Text Classification (SP)
|
35% |
21
191.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
214.2 IPS |
|
|
Text Classification (Q)
|
32% |
19
251.0 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.11 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.51 IPS |
