Google Pixel 8a
Geekbench AI Score
298
Single Precision Score
3957
Half Precision Score
7519
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:56 AM |
| Views | 2 |
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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
5571
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
5682
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
7074
114.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18909
307.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
30469
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62590
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4204
333.5 IPS |
|
|
Object Detection (Q)
|
87% |
5666
454.5 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
13366
158.8 IPS |
|
|
Face Detection (Q)
|
97% |
28861
344.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
456
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
30938
238.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
34595
318.5 IPS |
|
|
Style Transfer (SP)
|
100% |
608
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (Q)
|
72% |
2647
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
204
7.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7873
290.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14584
540.4 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.1 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.4 IPS |
|
|
Text Classification (Q)
|
92% |
1385
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
412
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.95 IPS |
