Google Pixel 8a
Geekbench AI Score
406
Single Precision Score
4306
Half Precision Score
6764
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kirbalo |
| Upload Date | February 07 2025 06:40 PM |
| Views | 15 |
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% |
270
50.3 IPS |
|
|
Image Classification (HP)
|
100% |
3417
635.5 IPS |
|
|
Image Classification (Q)
|
99% |
4292
800.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
9460
153.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15492
251.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30739
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61555
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
3967
314.7 IPS |
|
|
Object Detection (Q)
|
87% |
5099
409.0 IPS |
|
|
Face Detection (SP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (HP)
|
100% |
13139
156.1 IPS |
|
|
Face Detection (Q)
|
97% |
24608
293.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
529
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
29913
230.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34174
314.6 IPS |
|
|
Style Transfer (SP)
|
100% |
815
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
807
1.04 IPS |
|
|
Style Transfer (Q)
|
73% |
3037
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7741
285.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13716
508.2 IPS |
|
|
Text Classification (SP)
|
100% |
398
530.6 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.7 IPS |
|
|
Text Classification (Q)
|
92% |
688
924.0 IPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.81 IPS |
|
|
Machine Translation (Q)
|
57% |
399
9.74 IPS |
