Google Pixel 4a 5G
Geekbench AI Score
507
Single Precision Score
522
Half Precision Score
905
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
252
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
100% |
690
128.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
779
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1195
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1674
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
87% |
717
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.25 IPS |
|
|
Face Detection (Q)
|
95% |
1577
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1025
7.90 IPS |
|
|
Depth Estimation (HP)
|
100% |
1014
7.81 IPS |
|
|
Depth Estimation (Q)
|
75% |
1488
12.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1673
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1653
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2681
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
832
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
243
323.9 IPS |
|
|
Text Classification (HP)
|
100% |
220
293.4 IPS |
|
|
Text Classification (Q)
|
88% |
341
459.7 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
