Google Pixel 8a
Geekbench AI Score
370
Single Precision Score
4086
Half Precision Score
5230
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 13 2024 09:46 AM |
| Views | 13 |
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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
3490
649.1 IPS |
|
|
Image Classification (Q)
|
99% |
4695
875.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
6640
107.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15739
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
29902
34.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62283
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
4336
343.9 IPS |
|
|
Object Detection (Q)
|
87% |
5147
412.9 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
14575
173.2 IPS |
|
|
Face Detection (Q)
|
97% |
27085
322.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
30260
233.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
32693
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
731
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
27% |
188
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8584
316.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12671
469.5 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.1 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.5 IPS |
|
|
Text Classification (Q)
|
92% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
57% |
333
8.13 IPS |
