Google Pixel 9a
Geekbench AI Score
356
Single Precision Score
4805
Half Precision Score
9749
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 02:47 AM |
| 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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
6670
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
10407
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
8452
137.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18238
296.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
32097
37.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
65526
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
5499
436.2 IPS |
|
|
Object Detection (Q)
|
87% |
7937
636.7 IPS |
|
|
Face Detection (SP)
|
100% |
553
6.58 IPS |
|
|
Face Detection (HP)
|
100% |
17095
203.1 IPS |
|
|
Face Detection (Q)
|
97% |
34723
414.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
35001
269.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
42849
394.4 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
625
0.80 IPS |
|
|
Style Transfer (Q)
|
72% |
2950
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10433
385.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
19515
723.1 IPS |
|
|
Text Classification (SP)
|
100% |
211
282.1 IPS |
|
|
Text Classification (HP)
|
100% |
334
446.0 IPS |
|
|
Text Classification (Q)
|
92% |
2528
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
57% |
363
8.86 IPS |
