Google Pixel 9a
Geekbench AI Score
298
Single Precision Score
4240
Half Precision Score
8020
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 03:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
4421
822.1 IPS |
|
|
Image Classification (Q)
|
99% |
6240
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
8612
139.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18134
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
328
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
31960
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
63567
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
5033
399.2 IPS |
|
|
Object Detection (Q)
|
87% |
6677
535.6 IPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
16375
194.6 IPS |
|
|
Face Detection (Q)
|
97% |
34104
406.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
33343
256.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
39869
367.0 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (Q)
|
72% |
2952
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8638
319.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16407
608.0 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.1 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.5 IPS |
|
|
Text Classification (Q)
|
92% |
1248
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
436
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
436
7.51 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |
