Google Pixel 8a
Geekbench AI Score
633
Single Precision Score
761
Half Precision Score
728
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | February 05 2025 02:18 PM |
| Views | 19 |
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% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.7 IPS |
|
|
Image Classification (Q)
|
99% |
316
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
449
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1419
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1148
8.85 IPS |
|
|
Depth Estimation (Q)
|
62% |
901
8.53 IPS |
|
|
Style Transfer (SP)
|
100% |
2519
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3348
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3295
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
567
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
348
465.1 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.0 IPS |
|
|
Text Classification (Q)
|
91% |
548
736.0 IPS |
|
|
Machine Translation (SP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
57% |
350
8.56 IPS |
