Google Pixel 8a
Geekbench AI Score
375
Single Precision Score
4142
Half Precision Score
5133
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2024 12:15 PM |
| Views | 3 |
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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3535
657.4 IPS |
|
|
Image Classification (Q)
|
99% |
4804
896.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
6553
106.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13944
226.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30033
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61701
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
4347
344.8 IPS |
|
|
Object Detection (Q)
|
87% |
5000
401.1 IPS |
|
|
Face Detection (SP)
|
100% |
556
6.61 IPS |
|
|
Face Detection (HP)
|
100% |
16245
193.0 IPS |
|
|
Face Detection (Q)
|
97% |
29925
356.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
30129
232.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
32304
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (Q)
|
27% |
201
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6718
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11019
408.3 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.6 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.7 IPS |
|
|
Text Classification (Q)
|
92% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
57% |
373
9.11 IPS |
