Google Pixel 8a
Geekbench AI Score
1439
Single Precision Score
1497
Half Precision Score
2785
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | porina |
| Upload Date | August 15 2024 09:19 PM |
| Views | 9 |
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% |
1552
288.7 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.4 IPS |
|
|
Image Classification (Q)
|
100% |
2607
484.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2814
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3000
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6622
7.85 IPS |
|
|
Object Detection (SP)
|
98% |
1446
115.0 IPS |
|
|
Object Detection (HP)
|
98% |
1449
115.3 IPS |
|
|
Object Detection (Q)
|
87% |
2393
192.2 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (Q)
|
95% |
5692
67.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1536
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1512
11.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
2538
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3281
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
6891
8.95 IPS |
|
|
Style Transfer (Q)
|
98% |
13172
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
705
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1507
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
726
968.5 IPS |
|
|
Text Classification (HP)
|
99% |
746
995.7 IPS |
|
|
Text Classification (Q)
|
88% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
727
25.8 IPS |
