Google Pixel 9a
Geekbench AI Score
356
Single Precision Score
4286
Half Precision Score
7685
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:29 AM |
| 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% |
248
46.1 IPS |
|
|
Image Classification (HP)
|
100% |
4055
754.1 IPS |
|
|
Image Classification (Q)
|
99% |
6082
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
8920
144.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17084
277.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
388
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
32073
37.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
63393
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
5267
417.8 IPS |
|
|
Object Detection (Q)
|
87% |
6258
502.0 IPS |
|
|
Face Detection (SP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (HP)
|
100% |
16334
194.1 IPS |
|
|
Face Detection (Q)
|
97% |
33287
396.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
32088
247.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
35218
324.2 IPS |
|
|
Style Transfer (SP)
|
100% |
729
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
73% |
2717
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8782
324.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16715
619.4 IPS |
|
|
Text Classification (SP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (HP)
|
100% |
212
282.7 IPS |
|
|
Text Classification (Q)
|
92% |
1130
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.09 IPS |
