Google Pixel 4a 5G
Geekbench AI Score
169
Single Precision Score
295
Half Precision Score
1140
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 03 2025 11:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 4a 5G |
| Model ID | Google Pixel 4a (5G) |
| Motherboard | bramble |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
97% |
808
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
870
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1290
1.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
6744
7.90 IPS |
|
|
Object Detection (SP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.41 IPS |
|
|
Object Detection (Q)
|
85% |
833
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
2375
28.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
63% |
3849
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
508
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
390
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2366
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
575
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2815
104.3 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.90 IPS |
|
|
Text Classification (HP)
|
100% |
175
234.0 IPS |
|
|
Text Classification (Q)
|
93% |
111
148.4 IPS |
|
|
Machine Translation (SP)
|
100% |
111
1.91 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
54% |
140
3.93 IPS |
