Google Pixel 8a
Geekbench AI Score
367
Single Precision Score
4061
Half Precision Score
5200
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 08:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
3696
687.3 IPS |
|
|
Image Classification (Q)
|
99% |
4607
859.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
7130
115.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19752
321.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29706
34.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61852
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
4136
328.1 IPS |
|
|
Object Detection (Q)
|
87% |
5031
403.6 IPS |
|
|
Face Detection (SP)
|
100% |
548
6.51 IPS |
|
|
Face Detection (HP)
|
100% |
16243
193.0 IPS |
|
|
Face Detection (Q)
|
97% |
28196
336.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
477
3.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
29736
229.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
32927
303.1 IPS |
|
|
Style Transfer (SP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
27% |
187
3.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11048
409.4 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.9 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.3 IPS |
|
|
Text Classification (Q)
|
92% |
805
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.10 IPS |
