Google Pixel 8a
Geekbench AI Score
330
Single Precision Score
3872
Half Precision Score
6590
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
99% |
4377
816.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
7694
124.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13882
225.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30197
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
60650
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
3768
298.9 IPS |
|
|
Object Detection (Q)
|
87% |
4375
350.9 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
11952
142.0 IPS |
|
|
Face Detection (Q)
|
97% |
33826
403.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
27814
214.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
28770
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
606
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (Q)
|
72% |
2757
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7742
285.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13838
512.8 IPS |
|
|
Text Classification (SP)
|
100% |
219
291.8 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.0 IPS |
|
|
Text Classification (Q)
|
92% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
