Google Pixel 9a
Geekbench AI Score
1120
Single Precision Score
1734
Half Precision Score
1307
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 13 2025 12:02 AM |
| Views | 5 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
97% |
651
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1771
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5340
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
13850
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13244
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
99% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
83% |
1034
83.5 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (Q)
|
96% |
2896
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3677
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6070
46.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4849
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8143
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21773
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20373
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2265
84.0 IPS |
|
|
Text Classification (SP)
|
35% |
19
169.0 IPS |
|
|
Text Classification (HP)
|
35% |
26
237.0 IPS |
|
|
Text Classification (Q)
|
32% |
16
207.0 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
43% |
89
5.18 IPS |
