Google Pixel 9a
Geekbench AI Score
1149
Single Precision Score
1811
Half Precision Score
1358
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 04:16 PM |
| Views | 4 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (Q)
|
97% |
489
91.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2129
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5357
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13367
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12788
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (HP)
|
99% |
1090
86.4 IPS |
|
|
Object Detection (Q)
|
83% |
1016
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (Q)
|
96% |
3042
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3662
28.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
6414
49.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4989
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8173
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21399
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20269
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2503
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2276
84.3 IPS |
|
|
Text Classification (SP)
|
35% |
22
195.5 IPS |
|
|
Text Classification (HP)
|
35% |
27
249.6 IPS |
|
|
Text Classification (Q)
|
32% |
22
281.9 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.19 IPS |
|
|
Machine Translation (Q)
|
43% |
103
6.01 IPS |
