Google Pixel 8a
Geekbench AI Score
1036
Single Precision Score
1000
Half Precision Score
1866
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 11:20 AM |
| Views | 3 |
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% |
1032
191.9 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
100% |
2470
459.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2188
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
4516
5.36 IPS |
|
|
Object Detection (SP)
|
98% |
521
41.4 IPS |
|
|
Object Detection (HP)
|
98% |
521
41.5 IPS |
|
|
Object Detection (Q)
|
87% |
1523
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
1820
21.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1969
15.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
3865
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5046
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5030
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9487
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1235
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.7 IPS |
|
|
Text Classification (HP)
|
99% |
445
593.9 IPS |
|
|
Text Classification (Q)
|
88% |
440
593.0 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
342
12.1 IPS |
