Google Pixel 8a
Geekbench AI Score
297
Single Precision Score
3904
Half Precision Score
7596
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 15 2025 08:52 PM |
| Views | 3 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
5250
976.3 IPS |
|
|
Image Classification (Q)
|
99% |
7209
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
7350
119.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15295
248.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
260
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
30904
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
61794
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4169
330.7 IPS |
|
|
Object Detection (Q)
|
87% |
5162
414.1 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
13340
158.5 IPS |
|
|
Face Detection (Q)
|
97% |
32913
392.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
28168
217.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33978
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
686
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2932
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7719
285.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15294
566.7 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.3 IPS |
|
|
Text Classification (Q)
|
92% |
1374
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.46 IPS |
