Google Pixel 8a
Geekbench AI Score
401
Single Precision Score
4297
Half Precision Score
7749
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:44 PM |
| Views | 3 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
4446
826.8 IPS |
|
|
Image Classification (Q)
|
99% |
5919
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14795
240.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31088
36.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62803
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
4531
359.4 IPS |
|
|
Object Detection (Q)
|
87% |
6054
485.6 IPS |
|
|
Face Detection (SP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (HP)
|
100% |
12830
152.4 IPS |
|
|
Face Detection (Q)
|
97% |
25844
308.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
514
3.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
29157
224.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
40318
371.1 IPS |
|
|
Style Transfer (SP)
|
100% |
798
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
795
1.02 IPS |
|
|
Style Transfer (Q)
|
73% |
3106
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8379
309.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14979
555.0 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.9 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.2 IPS |
|
|
Text Classification (Q)
|
92% |
1234
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.57 IPS |
