Google Pixel 5
Geekbench AI Score
168
Single Precision Score
300
Half Precision Score
1149
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 11 2025 05:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 5 |
| Model ID | Google Pixel 5 |
| Motherboard | redfin |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.9 IPS |
|
|
Image Classification (Q)
|
97% |
790
147.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
897
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
519
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
6747
7.90 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.76 IPS |
|
|
Object Detection (Q)
|
85% |
858
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
97% |
2426
28.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
326
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
257
1.98 IPS |
|
|
Depth Estimation (Q)
|
63% |
3828
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2702
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2919
108.2 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.76 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.4 IPS |
|
|
Text Classification (Q)
|
93% |
95
127.6 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (HP)
|
100% |
290
5.00 IPS |
|
|
Machine Translation (Q)
|
54% |
141
3.97 IPS |
