Google Pixel 8a
Geekbench AI Score
1141
Single Precision Score
882
Half Precision Score
1528
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 16 2024 12:11 PM |
| 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% |
960
178.6 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
100% |
1613
299.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2410
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2730
3.24 IPS |
|
|
Object Detection (SP)
|
98% |
879
70.0 IPS |
|
|
Object Detection (HP)
|
98% |
716
56.9 IPS |
|
|
Object Detection (Q)
|
87% |
798
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1265
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1320
10.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
3866
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5074
6.59 IPS |
|
|
Style Transfer (HP)
|
89% |
4041
5.25 IPS |
|
|
Style Transfer (Q)
|
98% |
4486
5.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
564
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1225
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.7 IPS |
|
|
Text Classification (HP)
|
99% |
252
336.4 IPS |
|
|
Text Classification (Q)
|
88% |
436
587.8 IPS |
|
|
Machine Translation (SP)
|
100% |
982
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
