Google Pixel 8a
Geekbench AI Score
930
Single Precision Score
828
Half Precision Score
1649
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:50 AM |
| Views | 10 |
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% |
1035
192.5 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (Q)
|
100% |
2444
454.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2447
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1825
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1444
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
4198
4.98 IPS |
|
|
Object Detection (SP)
|
98% |
514
40.9 IPS |
|
|
Object Detection (HP)
|
98% |
512
40.7 IPS |
|
|
Object Detection (Q)
|
87% |
851
68.3 IPS |
|
|
Face Detection (SP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
1821
21.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1137
8.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1271
9.82 IPS |
|
|
Depth Estimation (Q)
|
75% |
2518
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4973
6.46 IPS |
|
|
Style Transfer (HP)
|
89% |
4347
5.64 IPS |
|
|
Style Transfer (Q)
|
98% |
9519
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
655
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1228
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
249
332.5 IPS |
|
|
Text Classification (HP)
|
99% |
241
321.9 IPS |
|
|
Text Classification (Q)
|
88% |
435
586.6 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
