Google Pixel 8a
Geekbench AI Score
1138
Single Precision Score
1169
Half Precision Score
1805
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1529
284.3 IPS |
|
|
Image Classification (HP)
|
100% |
1016
188.9 IPS |
|
|
Image Classification (Q)
|
100% |
2603
484.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2680
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2817
3.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
6262
7.43 IPS |
|
|
Object Detection (SP)
|
98% |
603
48.0 IPS |
|
|
Object Detection (HP)
|
98% |
569
45.3 IPS |
|
|
Object Detection (Q)
|
83% |
1742
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
1048
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
1997
23.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1144
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1301
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
1937
17.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4972
6.45 IPS |
|
|
Style Transfer (HP)
|
89% |
4975
6.46 IPS |
|
|
Style Transfer (Q)
|
98% |
4736
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.3 IPS |
|
|
Text Classification (HP)
|
99% |
256
341.5 IPS |
|
|
Text Classification (Q)
|
88% |
447
603.4 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
