Google Pixel 9a
Geekbench AI Score
335
Single Precision Score
4442
Half Precision Score
8082
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 07 2025 08:53 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
4664
867.3 IPS |
|
|
Image Classification (Q)
|
99% |
6282
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
8528
138.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16917
275.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
362
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31964
37.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
63059
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
5429
430.6 IPS |
|
|
Object Detection (Q)
|
87% |
6629
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (HP)
|
100% |
16148
191.9 IPS |
|
|
Face Detection (Q)
|
97% |
33255
396.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
32889
253.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
42161
388.1 IPS |
|
|
Style Transfer (SP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
605
0.78 IPS |
|
|
Style Transfer (Q)
|
73% |
2890
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9084
335.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16446
609.4 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.0 IPS |
|
|
Text Classification (Q)
|
92% |
1138
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.64 IPS |
