Google Pixel 9a
Geekbench AI Score
1269
Single Precision Score
1344
Half Precision Score
1955
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EriksLV |
| Upload Date | March 26 2026 04:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
1097
203.9 IPS |
|
|
Image Classification (Q)
|
99% |
2300
429.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (HP)
|
92% |
3982
4.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
4713
5.52 IPS |
|
|
Object Detection (SP)
|
98% |
855
68.1 IPS |
|
|
Object Detection (HP)
|
97% |
509
40.5 IPS |
|
|
Object Detection (Q)
|
85% |
1061
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
2617
31.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1590
12.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2235
17.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2566
23.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3946
5.12 IPS |
|
|
Style Transfer (HP)
|
88% |
3656
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
7553
9.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1262
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1913
70.9 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.6 IPS |
|
|
Text Classification (HP)
|
100% |
500
666.9 IPS |
|
|
Text Classification (Q)
|
93% |
647
868.8 IPS |
|
|
Machine Translation (SP)
|
100% |
777
13.4 IPS |
|
|
Machine Translation (HP)
|
96% |
698
12.1 IPS |
|
|
Machine Translation (Q)
|
55% |
508
13.6 IPS |
