Google Pixel 9a
Geekbench AI Score
1918
Single Precision Score
1969
Half Precision Score
3040
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 07 2025 10:02 PM |
| 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% |
1412
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
1542
286.8 IPS |
|
|
Image Classification (Q)
|
100% |
2406
447.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2428
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2824
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2762
3.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
6039
7.16 IPS |
|
|
Object Detection (SP)
|
98% |
1222
97.2 IPS |
|
|
Object Detection (HP)
|
98% |
1464
116.5 IPS |
|
|
Object Detection (Q)
|
83% |
2116
170.9 IPS |
|
|
Face Detection (SP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3031
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3039
23.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4844
44.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6723
8.73 IPS |
|
|
Style Transfer (HP)
|
89% |
6642
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
13022
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3368
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.4 IPS |
|
|
Text Classification (HP)
|
99% |
709
946.5 IPS |
|
|
Text Classification (Q)
|
88% |
1256
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1378
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
700
24.8 IPS |
