Google Pixel 8a
Geekbench AI Score
556
Single Precision Score
642
Half Precision Score
613
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 21 2024 01:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
349
64.9 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
99% |
289
53.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
968
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
83% |
422
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
1415
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1110
8.55 IPS |
|
|
Depth Estimation (Q)
|
62% |
888
8.40 IPS |
|
|
Style Transfer (SP)
|
100% |
2523
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3339
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3322
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
555
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.2 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (Q)
|
91% |
249
335.2 IPS |
|
|
Machine Translation (SP)
|
100% |
219
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.63 IPS |
|
|
Machine Translation (Q)
|
57% |
166
4.06 IPS |
