Google Pixel 8a
Geekbench AI Score
584
Single Precision Score
663
Half Precision Score
616
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 08:06 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.6 IPS |
|
|
Image Classification (Q)
|
99% |
352
65.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
312
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1099
8.46 IPS |
|
|
Depth Estimation (Q)
|
62% |
876
8.29 IPS |
|
|
Style Transfer (SP)
|
100% |
2481
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3171
4.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3221
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.0 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (Q)
|
91% |
249
335.0 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.09 IPS |
