Google Pixel 8a
Geekbench AI Score
1245
Single Precision Score
1211
Half Precision Score
1772
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:17 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% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (Q)
|
100% |
2441
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2153
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2516
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2053
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3404
4.04 IPS |
|
|
Object Detection (SP)
|
98% |
691
55.0 IPS |
|
|
Object Detection (HP)
|
98% |
701
55.8 IPS |
|
|
Object Detection (Q)
|
83% |
991
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1925
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3343
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5031
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
4986
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
8856
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1659
61.5 IPS |
|
|
Text Classification (SP)
|
100% |
315
421.1 IPS |
|
|
Text Classification (HP)
|
99% |
299
399.3 IPS |
|
|
Text Classification (Q)
|
88% |
505
681.4 IPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
