Google Pixel 8a
Geekbench AI Score
346
Single Precision Score
4033
Half Precision Score
5341
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 10 2024 09:00 PM |
| Views | 19 |
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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
3939
732.5 IPS |
|
|
Image Classification (Q)
|
99% |
4727
881.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
6814
110.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18386
299.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
30066
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62195
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
3942
312.7 IPS |
|
|
Object Detection (Q)
|
87% |
5478
439.4 IPS |
|
|
Face Detection (SP)
|
100% |
518
6.15 IPS |
|
|
Face Detection (HP)
|
100% |
17156
203.8 IPS |
|
|
Face Detection (Q)
|
97% |
31119
371.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
445
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
29297
225.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33406
307.5 IPS |
|
|
Style Transfer (SP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (Q)
|
27% |
183
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7778
287.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12443
461.1 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.4 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.6 IPS |
|
|
Text Classification (Q)
|
92% |
846
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
