Google Pixel 5a
Geekbench AI Score
174
Single Precision Score
302
Half Precision Score
303
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MADSDemid |
| Upload Date | July 17 2025 04:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 5a |
| Model ID | Google Pixel 5a |
| Motherboard | barbet |
| 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
31.8 IPS |
|
|
Image Classification (Q)
|
97% |
183
34.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
307
5.00 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
7.00 IPS |
|
|
Object Detection (HP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (Q)
|
89% |
146
11.7 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.94 IPS |
|
|
Face Detection (HP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (Q)
|
97% |
598
7.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
232
1.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
483
3.73 IPS |
|
|
Depth Estimation (Q)
|
62% |
398
3.77 IPS |
|
|
Style Transfer (SP)
|
100% |
413
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1090
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
1085
1.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
208
7.70 IPS |
|
|
Text Classification (SP)
|
100% |
172
230.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.2 IPS |
|
|
Text Classification (Q)
|
91% |
287
385.3 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
173
4.22 IPS |
