Google Pixel 9a
Geekbench AI Score
1896
Single Precision Score
1877
Half Precision Score
2880
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 07:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.2 IPS |
|
|
Image Classification (Q)
|
100% |
2262
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2709
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2626
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
5689
6.75 IPS |
|
|
Object Detection (SP)
|
98% |
1359
108.2 IPS |
|
|
Object Detection (HP)
|
98% |
1364
108.5 IPS |
|
|
Object Detection (Q)
|
83% |
2131
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4570
54.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2826
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2839
21.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4557
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6418
8.33 IPS |
|
|
Style Transfer (HP)
|
89% |
6364
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
12416
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3253
120.5 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.0 IPS |
|
|
Text Classification (HP)
|
99% |
659
880.0 IPS |
|
|
Text Classification (Q)
|
88% |
1136
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
628
22.3 IPS |
