Google Pixel 9a
Geekbench AI Score
317
Single Precision Score
3993
Half Precision Score
7696
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 04:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
4600
855.4 IPS |
|
|
Image Classification (Q)
|
99% |
9031
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
9065
146.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17409
283.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31274
36.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
62789
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
4781
379.2 IPS |
|
|
Object Detection (Q)
|
87% |
5994
480.8 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
16212
192.6 IPS |
|
|
Face Detection (Q)
|
97% |
29965
357.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
440
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
31133
239.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
36858
339.3 IPS |
|
|
Style Transfer (SP)
|
100% |
524
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
508
0.65 IPS |
|
|
Style Transfer (Q)
|
73% |
2453
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
210
7.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8486
313.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15863
587.8 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.0 IPS |
|
|
Text Classification (HP)
|
100% |
184
246.1 IPS |
|
|
Text Classification (Q)
|
92% |
1161
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
57% |
247
6.04 IPS |
