Google Pixel 8a
Geekbench AI Score
370
Single Precision Score
4115
Half Precision Score
5371
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:32 PM |
| Views | 2 |
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% |
238
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.8 IPS |
|
|
Image Classification (Q)
|
99% |
4610
859.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
8363
135.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13997
227.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
29817
34.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62682
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
3972
315.1 IPS |
|
|
Object Detection (Q)
|
87% |
5100
409.1 IPS |
|
|
Face Detection (SP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
15544
184.7 IPS |
|
|
Face Detection (Q)
|
97% |
33198
395.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
29576
227.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33103
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
720
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
27% |
189
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7983
294.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13199
489.1 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.0 IPS |
|
|
Text Classification (Q)
|
92% |
1056
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
57% |
335
8.18 IPS |
