Google Pixel 8a
Geekbench AI Score
1083
Single Precision Score
1104
Half Precision Score
1718
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:46 AM |
| Views | 11 |
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% |
946
175.9 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (Q)
|
100% |
2339
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2495
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
4162
4.94 IPS |
|
|
Object Detection (SP)
|
98% |
440
35.0 IPS |
|
|
Object Detection (HP)
|
98% |
556
44.2 IPS |
|
|
Object Detection (Q)
|
83% |
888
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
95% |
1960
23.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2035
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1780
13.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
1913
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5011
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
5074
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
9261
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
586
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1277
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.6 IPS |
|
|
Text Classification (HP)
|
99% |
258
344.8 IPS |
|
|
Text Classification (Q)
|
88% |
741
999.3 IPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.64 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
