Google Pixel 8a
Geekbench AI Score
582
Single Precision Score
713
Half Precision Score
670
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 28 2024 11:16 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% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.1 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
508
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1309
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.61 IPS |
|
|
Depth Estimation (Q)
|
62% |
901
8.53 IPS |
|
|
Style Transfer (SP)
|
100% |
2525
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3259
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.2 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.4 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
