Google Pixel 8a
Geekbench AI Score
645
Single Precision Score
762
Half Precision Score
734
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 10 2024 09:09 PM |
| Views | 14 |
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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
416
77.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
919
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
692
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
484
39.1 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
891
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
2537
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3273
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3259
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
533
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.3 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.4 IPS |
|
|
Text Classification (Q)
|
91% |
555
745.4 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
57% |
338
8.27 IPS |
