Google Pixel 4a
Geekbench AI Score
516
Single Precision Score
514
Half Precision Score
982
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 22 2024 09:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 730G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 4a |
| Model ID | Google Pixel 4a |
| Motherboard | sunfish |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (Q)
|
100% |
670
124.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1632
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (Q)
|
87% |
676
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (Q)
|
95% |
1530
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
936
7.21 IPS |
|
|
Depth Estimation (HP)
|
100% |
923
7.11 IPS |
|
|
Depth Estimation (Q)
|
75% |
1734
14.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1876
2.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1880
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3736
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.0 IPS |
|
|
Text Classification (Q)
|
88% |
522
703.6 IPS |
|
|
Machine Translation (SP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
