Google Pixel 8a
Geekbench AI Score
318
Single Precision Score
4034
Half Precision Score
7322
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 07:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
4198
780.7 IPS |
|
|
Image Classification (Q)
|
99% |
5974
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
8829
143.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13904
226.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
357
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30688
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63067
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
4476
355.0 IPS |
|
|
Object Detection (Q)
|
87% |
5254
421.4 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
14783
175.7 IPS |
|
|
Face Detection (Q)
|
97% |
27071
322.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
28642
220.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34963
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (Q)
|
73% |
2640
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7797
287.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14949
553.9 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.9 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.2 IPS |
|
|
Text Classification (Q)
|
92% |
1513
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
