Google Pixel 8a
Geekbench AI Score
1430
Single Precision Score
1467
Half Precision Score
2295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:12 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
1024
190.4 IPS |
|
|
Image Classification (Q)
|
100% |
2491
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2514
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2428
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
5554
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1142
90.9 IPS |
|
|
Object Detection (HP)
|
98% |
1030
82.0 IPS |
|
|
Object Detection (Q)
|
83% |
1577
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
1964
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (Q)
|
95% |
2533
30.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1457
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1601
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2365
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3589
4.66 IPS |
|
|
Style Transfer (HP)
|
89% |
3631
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
6635
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3627
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
698
932.1 IPS |
|
|
Text Classification (HP)
|
99% |
690
920.4 IPS |
|
|
Text Classification (Q)
|
88% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
460
16.3 IPS |
