Google Pixel 4a 5G
Geekbench AI Score
173
Single Precision Score
302
Half Precision Score
306
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | gxhfmsq78 |
| Upload Date | August 29 2024 11:22 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (Q)
|
97% |
183
34.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
4.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
303
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
88
7.01 IPS |
|
|
Object Detection (HP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (Q)
|
86% |
143
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.92 IPS |
|
|
Face Detection (HP)
|
100% |
556
6.61 IPS |
|
|
Face Detection (Q)
|
97% |
595
7.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.74 IPS |
|
|
Depth Estimation (Q)
|
75% |
468
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
413
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1092
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
1087
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
207
7.68 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.4 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.8 IPS |
|
|
Text Classification (Q)
|
91% |
277
371.9 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
57% |
174
4.25 IPS |
