Google Pixel 9a
Geekbench AI Score
2023
Single Precision Score
1995
Half Precision Score
3038
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 09:21 PM |
| Views | 3 |
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% |
1555
289.2 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.3 IPS |
|
|
Image Classification (Q)
|
100% |
2403
446.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2499
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2968
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
6136
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
1455
115.8 IPS |
|
|
Object Detection (HP)
|
98% |
1463
116.4 IPS |
|
|
Object Detection (Q)
|
83% |
1946
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (Q)
|
95% |
4916
58.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3006
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2985
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4718
43.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6816
8.85 IPS |
|
|
Style Transfer (HP)
|
89% |
6818
8.85 IPS |
|
|
Style Transfer (Q)
|
98% |
13082
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3517
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
707
943.8 IPS |
|
|
Text Classification (HP)
|
99% |
695
928.3 IPS |
|
|
Text Classification (Q)
|
88% |
1252
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (Q)
|
50% |
700
24.9 IPS |
