Google Pixel 9a
Geekbench AI Score
352
Single Precision Score
4433
Half Precision Score
8234
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kot0 |
| Upload Date | July 18 2025 09:44 PM |
| Views | 9 |
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
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
4569
849.8 IPS |
|
|
Image Classification (Q)
|
99% |
9117
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
8420
136.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17250
280.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31328
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62834
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
4861
385.6 IPS |
|
|
Object Detection (Q)
|
87% |
6594
528.9 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
16460
195.6 IPS |
|
|
Face Detection (Q)
|
97% |
30989
369.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
475
3.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
31836
245.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
37838
348.3 IPS |
|
|
Style Transfer (SP)
|
100% |
683
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
657
0.84 IPS |
|
|
Style Transfer (Q)
|
72% |
2872
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9872
364.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15144
561.2 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.3 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.0 IPS |
|
|
Text Classification (Q)
|
92% |
1247
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
57% |
346
8.47 IPS |
