Google Pixel 8a
Geekbench AI Score
326
Single Precision Score
3699
Half Precision Score
6499
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
236
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3988
741.6 IPS |
|
|
Image Classification (Q)
|
99% |
7172
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
7139
115.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14364
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29760
34.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61936
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (Q)
|
87% |
4517
362.4 IPS |
|
|
Face Detection (SP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (HP)
|
100% |
12445
147.9 IPS |
|
|
Face Detection (Q)
|
97% |
27985
333.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
391
3.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
24903
191.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
29720
273.6 IPS |
|
|
Style Transfer (SP)
|
100% |
566
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2340
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7048
260.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11795
437.0 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.1 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.7 IPS |
|
|
Text Classification (Q)
|
92% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.46 IPS |
