Google Pixel 9a
Geekbench AI Score
333
Single Precision Score
4571
Half Precision Score
8151
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 07 2025 08:43 PM |
| Views | 1 |
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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
4628
860.7 IPS |
|
|
Image Classification (Q)
|
99% |
6062
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
263
4.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
8400
136.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18860
306.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
333
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
31863
37.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
64140
75.1 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
6067
481.2 IPS |
|
|
Object Detection (Q)
|
87% |
6245
501.0 IPS |
|
|
Face Detection (SP)
|
100% |
509
6.04 IPS |
|
|
Face Detection (HP)
|
100% |
15931
189.3 IPS |
|
|
Face Detection (Q)
|
97% |
34983
417.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
32820
252.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
40639
374.1 IPS |
|
|
Style Transfer (SP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
670
0.86 IPS |
|
|
Style Transfer (Q)
|
73% |
2983
4.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9147
337.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16018
593.6 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.7 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.6 IPS |
|
|
Text Classification (Q)
|
92% |
1189
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (Q)
|
57% |
350
8.56 IPS |
