Google Pixel 8a
Geekbench AI Score
1717
Single Precision Score
1784
Half Precision Score
3082
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 12:41 PM |
| Views | 1 |
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% |
961
178.7 IPS |
|
|
Image Classification (HP)
|
100% |
1066
198.3 IPS |
|
|
Image Classification (Q)
|
100% |
2601
483.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2622
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2858
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2786
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6287
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1346
107.1 IPS |
|
|
Object Detection (HP)
|
98% |
1106
88.0 IPS |
|
|
Object Detection (Q)
|
83% |
2342
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2835
33.7 IPS |
|
|
Face Detection (Q)
|
95% |
5398
64.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2731
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2751
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4984
45.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6610
8.58 IPS |
|
|
Style Transfer (HP)
|
89% |
6553
8.51 IPS |
|
|
Style Transfer (Q)
|
98% |
12589
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3681
136.4 IPS |
|
|
Text Classification (SP)
|
100% |
677
904.0 IPS |
|
|
Text Classification (HP)
|
99% |
730
974.3 IPS |
|
|
Text Classification (Q)
|
88% |
1094
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
