Google Pixel 9a
Geekbench AI Score
1367
Single Precision Score
1460
Half Precision Score
2135
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 11:00 AM |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (Q)
|
100% |
2379
442.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2437
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
4638
5.50 IPS |
|
|
Object Detection (SP)
|
98% |
817
65.0 IPS |
|
|
Object Detection (HP)
|
98% |
1025
81.6 IPS |
|
|
Object Detection (Q)
|
83% |
856
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (Q)
|
95% |
2749
32.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2130
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2136
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3395
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5108
6.63 IPS |
|
|
Style Transfer (HP)
|
89% |
5150
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
9761
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2491
92.3 IPS |
|
|
Text Classification (SP)
|
100% |
471
629.0 IPS |
|
|
Text Classification (HP)
|
99% |
464
619.5 IPS |
|
|
Text Classification (Q)
|
88% |
820
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
50% |
461
16.4 IPS |
