Google Pixel 4a
Geekbench AI Score
441
Single Precision Score
435
Half Precision Score
766
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 03 2025 10:26 PM |
| Views | 12 |
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% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.9 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
578
9.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
948
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
942
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1234
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
83% |
525
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
623
7.41 IPS |
|
|
Face Detection (HP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (Q)
|
95% |
1188
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
823
6.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
801
6.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
1168
10.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1507
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1505
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2873
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
715
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.1 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.6 IPS |
|
|
Text Classification (Q)
|
88% |
367
494.9 IPS |
|
|
Machine Translation (SP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.57 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.79 IPS |
