Google Pixel 8a
Geekbench AI Score
1037
Single Precision Score
1043
Half Precision Score
1551
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 10:34 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% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
100% |
2223
413.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2371
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1406
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
2525
2.99 IPS |
|
|
Object Detection (SP)
|
98% |
526
41.8 IPS |
|
|
Object Detection (HP)
|
98% |
524
41.7 IPS |
|
|
Object Detection (Q)
|
83% |
898
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
1958
23.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1474
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2094
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1978
18.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4904
6.37 IPS |
|
|
Style Transfer (HP)
|
89% |
4194
5.44 IPS |
|
|
Style Transfer (Q)
|
98% |
9501
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1282
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
254
339.5 IPS |
|
|
Text Classification (HP)
|
99% |
451
602.6 IPS |
|
|
Text Classification (Q)
|
88% |
451
608.9 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
318
11.3 IPS |
