Google Pixel 8a
Geekbench AI Score
965
Single Precision Score
1108
Half Precision Score
1571
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 30 2024 11:18 AM |
| Views | 2 |
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% |
972
180.8 IPS |
|
|
Image Classification (HP)
|
100% |
643
119.6 IPS |
|
|
Image Classification (Q)
|
100% |
2412
448.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2834
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1589
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
4529
5.37 IPS |
|
|
Object Detection (SP)
|
98% |
527
41.9 IPS |
|
|
Object Detection (HP)
|
98% |
524
41.7 IPS |
|
|
Object Detection (Q)
|
83% |
888
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (Q)
|
95% |
1953
23.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1298
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1955
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5058
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5089
6.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4579
5.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1260
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.5 IPS |
|
|
Text Classification (HP)
|
99% |
458
611.7 IPS |
|
|
Text Classification (Q)
|
88% |
451
607.8 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
