Google Pixel 5a
Geekbench AI Score
166
Single Precision Score
283
Half Precision Score
1143
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MADSDemid |
| Upload Date | July 17 2025 04:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (Q)
|
97% |
805
150.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
842
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1283
1.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
6684
7.83 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.76 IPS |
|
|
Object Detection (Q)
|
85% |
919
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
97% |
2298
27.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
221
1.70 IPS |
|
|
Depth Estimation (Q)
|
63% |
4333
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
472
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
365
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2351
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
575
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2775
102.8 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.81 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.4 IPS |
|
|
Text Classification (Q)
|
93% |
102
137.2 IPS |
|
|
Machine Translation (SP)
|
100% |
120
2.06 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
54% |
138
3.88 IPS |
