Google Pixel 9a
Geekbench AI Score
1745
Single Precision Score
1800
Half Precision Score
2726
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:53 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
100% |
2390
444.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2416
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5895
6.99 IPS |
|
|
Object Detection (SP)
|
98% |
1380
109.8 IPS |
|
|
Object Detection (HP)
|
98% |
1352
107.6 IPS |
|
|
Object Detection (Q)
|
83% |
1965
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
4722
56.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2926
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2790
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4557
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6587
8.55 IPS |
|
|
Style Transfer (HP)
|
89% |
6366
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
11319
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1318
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2983
110.5 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (HP)
|
99% |
506
675.0 IPS |
|
|
Text Classification (Q)
|
88% |
887
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
527
18.7 IPS |
