Google Pixel 8a
Geekbench AI Score
361
Single Precision Score
3968
Half Precision Score
5240
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:42 PM |
| Views | 14 |
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% |
229
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
99% |
4768
889.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16722
271.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
29839
34.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62218
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
4052
321.4 IPS |
|
|
Object Detection (Q)
|
87% |
4768
382.5 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
13796
163.9 IPS |
|
|
Face Detection (Q)
|
97% |
25909
308.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
29961
230.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
32985
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
700
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
703
0.90 IPS |
|
|
Style Transfer (Q)
|
27% |
194
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7684
283.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12950
479.8 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.8 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.7 IPS |
|
|
Text Classification (Q)
|
92% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
57% |
339
8.29 IPS |
