Google Pixel 8a
Geekbench AI Score
984
Single Precision Score
977
Half Precision Score
1460
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:22 PM |
| Views | 3 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
665
123.7 IPS |
|
|
Image Classification (HP)
|
100% |
668
124.3 IPS |
|
|
Image Classification (Q)
|
100% |
1029
191.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1504
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1497
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
3359
3.98 IPS |
|
|
Object Detection (SP)
|
98% |
727
57.9 IPS |
|
|
Object Detection (HP)
|
98% |
679
54.0 IPS |
|
|
Object Detection (Q)
|
83% |
992
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
2389
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1557
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2315
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3664
4.76 IPS |
|
|
Style Transfer (HP)
|
89% |
3612
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6708
8.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1748
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
314
418.9 IPS |
|
|
Text Classification (HP)
|
99% |
314
419.0 IPS |
|
|
Text Classification (Q)
|
88% |
535
721.1 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
