Google Pixel 8a
Geekbench AI Score
316
Single Precision Score
4019
Half Precision Score
7490
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:43 AM |
| Views | 2 |
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% |
234
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
5626
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
7982
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
7066
114.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15045
244.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
30540
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62815
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4530
359.3 IPS |
|
|
Object Detection (Q)
|
87% |
5593
448.7 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
15254
181.3 IPS |
|
|
Face Detection (Q)
|
97% |
25297
301.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
33206
255.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34838
320.7 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
564
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2611
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8220
303.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13602
504.0 IPS |
|
|
Text Classification (SP)
|
100% |
268
357.4 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.2 IPS |
|
|
Text Classification (Q)
|
92% |
1488
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
