Google Pixel 8a
Geekbench AI Score
1104
Single Precision Score
1077
Half Precision Score
1567
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 08:30 AM |
| Views | 1 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (HP)
|
100% |
1079
200.6 IPS |
|
|
Image Classification (Q)
|
100% |
1751
325.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
3345
3.97 IPS |
|
|
Object Detection (SP)
|
98% |
707
56.2 IPS |
|
|
Object Detection (HP)
|
98% |
667
53.1 IPS |
|
|
Object Detection (Q)
|
83% |
1020
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
2458
29.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2253
20.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3692
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3693
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6867
8.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1690
62.6 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.9 IPS |
|
|
Text Classification (HP)
|
99% |
303
404.2 IPS |
|
|
Text Classification (Q)
|
88% |
510
688.0 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
308
10.9 IPS |
