Google Pixel 9a
Geekbench AI Score
1120
Single Precision Score
1729
Half Precision Score
1292
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:04 PM |
| Views | 2 |
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% |
672
125.0 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (Q)
|
97% |
571
106.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1692
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5310
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
13706
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13115
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (HP)
|
99% |
994
78.8 IPS |
|
|
Object Detection (Q)
|
83% |
1013
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
3171
37.7 IPS |
|
|
Face Detection (Q)
|
96% |
3427
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3570
27.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6168
47.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4796
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8202
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21594
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20522
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2260
83.8 IPS |
|
|
Text Classification (SP)
|
35% |
22
199.8 IPS |
|
|
Text Classification (HP)
|
35% |
27
249.0 IPS |
|
|
Text Classification (Q)
|
32% |
18
238.5 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.68 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.30 IPS |
