Google Pixel 8a
Geekbench AI Score
315
Single Precision Score
3466
Half Precision Score
4518
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | luchnik |
| Upload Date | July 21 2025 02:48 PM |
| Views | 5 |
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
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
3042
565.6 IPS |
|
|
Image Classification (Q)
|
99% |
4568
851.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
6987
113.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12615
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
23911
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
48431
56.7 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (Q)
|
87% |
4243
340.4 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
12833
152.5 IPS |
|
|
Face Detection (Q)
|
97% |
25936
309.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
369
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
24647
189.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
27136
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (Q)
|
27% |
182
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6589
243.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11493
425.9 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.2 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.3 IPS |
|
|
Text Classification (Q)
|
92% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.55 IPS |
