Google Pixel 9a
Geekbench AI Score
347
Single Precision Score
4376
Half Precision Score
8339
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | markerichannelly |
| Upload Date | September 01 2025 04:35 AM |
| Views | 8 |
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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
4705
874.9 IPS |
|
|
Image Classification (Q)
|
99% |
9402
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
7923
128.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17600
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
31429
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63181
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
5052
400.7 IPS |
|
|
Object Detection (Q)
|
87% |
6054
485.6 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.52 IPS |
|
|
Face Detection (HP)
|
100% |
16271
193.3 IPS |
|
|
Face Detection (Q)
|
97% |
31532
376.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
32608
251.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
37639
346.5 IPS |
|
|
Style Transfer (SP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (Q)
|
73% |
3076
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
249
9.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8711
321.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16974
629.0 IPS |
|
|
Text Classification (SP)
|
100% |
212
282.7 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
92% |
1411
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
57% |
294
7.17 IPS |
