Google Pixel 9a
Geekbench AI Score
379
Single Precision Score
4506
Half Precision Score
8126
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 20 2025 06:47 AM |
| Views | 14 |
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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
4223
785.3 IPS |
|
|
Image Classification (Q)
|
99% |
6611
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
8130
131.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18264
297.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31445
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63276
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
4736
375.7 IPS |
|
|
Object Detection (Q)
|
87% |
6782
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (HP)
|
100% |
15987
190.0 IPS |
|
|
Face Detection (Q)
|
97% |
33497
399.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
33306
256.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
38029
350.1 IPS |
|
|
Style Transfer (SP)
|
100% |
694
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
735
0.95 IPS |
|
|
Style Transfer (Q)
|
72% |
3024
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8848
326.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14509
537.6 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.5 IPS |
|
|
Text Classification (HP)
|
100% |
369
493.1 IPS |
|
|
Text Classification (Q)
|
92% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.12 IPS |
|
|
Machine Translation (Q)
|
57% |
375
9.17 IPS |
