Google Pixel 3a
Geekbench AI Score
14
Single Precision Score
13
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 03 2024 09:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 670 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 3a |
| Model ID | Google Pixel 3a |
| Motherboard | sargo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.69 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.63 KIPS |
|
|
Image Classification (Q)
|
0% |
0
2.29 KIPS |
|
|
Image Segmentation (SP)
|
73% |
9982
172.5 IPS |
|
|
Image Segmentation (HP)
|
73% |
9737
168.3 IPS |
|
|
Image Segmentation (Q)
|
73% |
22893
395.6 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
504.7 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
510.3 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.03 KIPS |
|
|
Object Detection (SP)
|
0% |
0
726.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
715.5 IPS |
|
|
Object Detection (Q)
|
0% |
0
526.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
232.9 IPS |
|
|
Face Detection (HP)
|
0% |
0
232.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
370.2 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
423.3 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
400.0 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
409.7 IPS |
|
|
Style Transfer (SP)
|
32% |
93284
1.17 KIPS |
|
|
Style Transfer (HP)
|
32% |
86545
1.09 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
2.40 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
171
2.02 KIPS |
|
|
Text Classification (SP)
|
29% |
434
7.50 KIPS |
|
|
Text Classification (HP)
|
29% |
274
4.74 KIPS |
|
|
Text Classification (Q)
|
29% |
291
5.03 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
4.47 IPS |
|
|
Machine Translation (HP)
|
0% |
0
4.34 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.75 IPS |
