Google Pixel 9a
Geekbench AI Score
2001
Single Precision Score
2006
Half Precision Score
3086
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2026 03:13 AM |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.6 IPS |
|
|
Image Classification (Q)
|
100% |
2391
444.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2488
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2918
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2895
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
6297
7.47 IPS |
|
|
Object Detection (SP)
|
98% |
1402
111.5 IPS |
|
|
Object Detection (HP)
|
98% |
1496
119.0 IPS |
|
|
Object Detection (Q)
|
83% |
2210
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
2992
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
4860
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2964
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4922
45.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7093
9.21 IPS |
|
|
Style Transfer (HP)
|
89% |
7027
9.12 IPS |
|
|
Style Transfer (Q)
|
98% |
13571
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3524
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
670
893.9 IPS |
|
|
Text Classification (HP)
|
99% |
662
884.0 IPS |
|
|
Text Classification (Q)
|
88% |
1245
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (Q)
|
50% |
665
23.6 IPS |
