Google Pixel 4a
Geekbench AI Score
188
Single Precision Score
273
Half Precision Score
863
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 07:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
97% |
582
108.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
667
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1101
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
4074
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.64 IPS |
|
|
Object Detection (Q)
|
85% |
614
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
405
4.81 IPS |
|
|
Face Detection (HP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (Q)
|
97% |
1484
17.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
289
2.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
2498
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
2386
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1817
67.3 IPS |
|
|
Text Classification (SP)
|
71% |
5
6.61 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.7 IPS |
|
|
Text Classification (Q)
|
93% |
115
153.8 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
54% |
128
3.60 IPS |
