Google Pixel 9a
Geekbench AI Score
1467
Single Precision Score
1473
Half Precision Score
2182
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:55 PM |
| Views | 2 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.0 IPS |
|
|
Image Classification (Q)
|
100% |
2342
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2412
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2657
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2431
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
4935
5.85 IPS |
|
|
Object Detection (SP)
|
98% |
1011
80.5 IPS |
|
|
Object Detection (HP)
|
98% |
970
77.2 IPS |
|
|
Object Detection (Q)
|
83% |
1206
97.5 IPS |
|
|
Face Detection (SP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (Q)
|
95% |
3015
36.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1750
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1719
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3237
29.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5040
6.54 IPS |
|
|
Style Transfer (HP)
|
89% |
5061
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9689
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2381
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.9 IPS |
|
|
Text Classification (HP)
|
99% |
456
609.1 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
435
15.4 IPS |
