Google Pixel 8a
Geekbench AI Score
1349
Single Precision Score
1394
Half Precision Score
2002
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
1452
270.1 IPS |
|
|
Image Classification (Q)
|
100% |
2201
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1601
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2282
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
4515
5.35 IPS |
|
|
Object Detection (SP)
|
98% |
1014
80.7 IPS |
|
|
Object Detection (HP)
|
98% |
996
79.2 IPS |
|
|
Object Detection (Q)
|
83% |
1268
102.4 IPS |
|
|
Face Detection (SP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (Q)
|
95% |
2399
28.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1934
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2062
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3109
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5043
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5018
6.51 IPS |
|
|
Style Transfer (Q)
|
98% |
9603
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2074
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
356
475.0 IPS |
|
|
Text Classification (HP)
|
99% |
356
474.8 IPS |
|
|
Text Classification (Q)
|
88% |
516
696.6 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
