Google Pixel 8a
Geekbench AI Score
1207
Single Precision Score
1052
Half Precision Score
1787
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1051
195.5 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
100% |
2590
481.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2760
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2861
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
5603
6.64 IPS |
|
|
Object Detection (SP)
|
98% |
480
38.2 IPS |
|
|
Object Detection (HP)
|
98% |
479
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
895
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
1981
23.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2003
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1353
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
1953
17.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4441
5.77 IPS |
|
|
Style Transfer (HP)
|
89% |
4910
6.37 IPS |
|
|
Style Transfer (Q)
|
98% |
9078
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1242
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.5 IPS |
|
|
Text Classification (HP)
|
99% |
257
342.4 IPS |
|
|
Text Classification (Q)
|
88% |
452
609.2 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
