Google Pixel 9a
Geekbench AI Score
380
Single Precision Score
4654
Half Precision Score
8431
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 09:39 PM |
| Views | 4 |
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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
5205
968.0 IPS |
|
|
Image Classification (Q)
|
99% |
9035
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
9227
149.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17460
283.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31540
36.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63160
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
5011
397.4 IPS |
|
|
Object Detection (Q)
|
87% |
6703
537.7 IPS |
|
|
Face Detection (SP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
16251
193.1 IPS |
|
|
Face Detection (Q)
|
97% |
31794
379.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
31914
245.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
39590
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
72% |
3110
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8710
321.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15530
575.5 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.7 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.9 IPS |
|
|
Text Classification (Q)
|
92% |
1199
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.12 IPS |
