Google Pixel 9a
Geekbench AI Score
1100
Single Precision Score
1758
Half Precision Score
1291
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 09:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
491
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (Q)
|
97% |
468
87.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2203
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5345
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13848
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13129
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
99% |
1099
87.2 IPS |
|
|
Object Detection (Q)
|
83% |
1041
84.1 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2992
35.6 IPS |
|
|
Face Detection (Q)
|
96% |
2788
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3714
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6526
50.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
5091
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8169
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21894
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20451
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1962
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2482
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2282
84.6 IPS |
|
|
Text Classification (SP)
|
35% |
23
210.4 IPS |
|
|
Text Classification (HP)
|
35% |
29
266.1 IPS |
|
|
Text Classification (Q)
|
32% |
18
234.6 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.48 IPS |
