Google Pixel 4a
Geekbench AI Score
512
Single Precision Score
509
Half Precision Score
960
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 06:35 PM |
| Views | 4 |
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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1097
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1633
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (Q)
|
83% |
657
53.0 IPS |
|
|
Face Detection (SP)
|
100% |
709
8.43 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.42 IPS |
|
|
Face Detection (Q)
|
95% |
1506
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
932
7.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1516
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1861
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1861
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3731
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.1 IPS |
|
|
Text Classification (HP)
|
100% |
269
358.7 IPS |
|
|
Text Classification (Q)
|
88% |
515
695.0 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
50% |
323
11.5 IPS |
