Google Pixel 9a
Geekbench AI Score
1967
Single Precision Score
1950
Half Precision Score
3020
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 06:50 AM |
| Views | 4 |
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% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
1425
265.0 IPS |
|
|
Image Classification (Q)
|
100% |
2405
447.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2477
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2796
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2671
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
6016
7.14 IPS |
|
|
Object Detection (SP)
|
98% |
1436
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1417
112.7 IPS |
|
|
Object Detection (Q)
|
83% |
2072
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4770
56.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2795
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2909
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4734
43.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6860
8.91 IPS |
|
|
Style Transfer (HP)
|
89% |
6743
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13087
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3530
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
684
912.7 IPS |
|
|
Text Classification (HP)
|
99% |
684
912.4 IPS |
|
|
Text Classification (Q)
|
88% |
1193
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
683
24.3 IPS |
