Google Pixel 8a
Geekbench AI Score
319
Single Precision Score
3811
Half Precision Score
5172
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 19 2024 02:13 PM |
| Views | 11 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
3521
654.8 IPS |
|
|
Image Classification (Q)
|
99% |
4546
848.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
6894
111.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14199
230.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
29801
34.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63038
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
3888
308.4 IPS |
|
|
Object Detection (Q)
|
87% |
4955
397.5 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
15086
179.3 IPS |
|
|
Face Detection (Q)
|
97% |
30673
365.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
28546
219.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
32600
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
598
0.77 IPS |
|
|
Style Transfer (Q)
|
27% |
184
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7915
292.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12728
471.6 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.4 IPS |
|
|
Text Classification (HP)
|
100% |
278
370.7 IPS |
|
|
Text Classification (Q)
|
92% |
880
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
57% |
330
8.08 IPS |
