Google Pixel 9a
Geekbench AI Score
1966
Single Precision Score
1940
Half Precision Score
2963
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | September 01 2025 04:22 AM |
| Views | 10 |
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% |
1573
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (Q)
|
100% |
2407
447.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2780
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2723
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
5865
6.96 IPS |
|
|
Object Detection (SP)
|
98% |
1387
110.4 IPS |
|
|
Object Detection (HP)
|
98% |
1415
112.6 IPS |
|
|
Object Detection (Q)
|
83% |
2085
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4793
57.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2960
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2863
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4707
43.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6555
8.51 IPS |
|
|
Style Transfer (HP)
|
89% |
6580
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
12574
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3348
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.3 IPS |
|
|
Text Classification (HP)
|
99% |
706
943.0 IPS |
|
|
Text Classification (Q)
|
88% |
1142
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
663
23.5 IPS |
