Google Pixel 4a
Geekbench AI Score
510
Single Precision Score
507
Half Precision Score
968
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | February 11 2025 03:04 PM |
| Views | 5 |
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% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1114
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1638
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (Q)
|
83% |
664
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
700
8.32 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
95% |
1519
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
878
6.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1517
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1834
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1827
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
3701
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
273
364.1 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.0 IPS |
|
|
Text Classification (Q)
|
88% |
532
718.0 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
50% |
325
11.5 IPS |
