Google Pixel 8a
Geekbench AI Score
317
Single Precision Score
3787
Half Precision Score
6539
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 03:06 AM |
| Views | 11 |
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% |
4474
831.9 IPS |
|
|
Image Classification (Q)
|
99% |
5301
988.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
7598
123.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14784
240.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29795
34.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
60759
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
3954
313.6 IPS |
|
|
Object Detection (Q)
|
87% |
5358
429.8 IPS |
|
|
Face Detection (SP)
|
100% |
411
4.89 IPS |
|
|
Face Detection (HP)
|
100% |
11592
137.7 IPS |
|
|
Face Detection (Q)
|
97% |
24942
297.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
368
2.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
28926
222.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
31085
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2338
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7202
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13747
509.4 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.4 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (Q)
|
92% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
