Google Pixel 5
Geekbench AI Score
170
Single Precision Score
297
Half Precision Score
1141
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 11:51 AM |
| Views | 21 |
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
46.8 IPS |
|
|
Image Classification (Q)
|
97% |
782
146.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
901
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1291
1.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
6705
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.61 IPS |
|
|
Object Detection (Q)
|
89% |
815
65.2 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
97% |
2289
27.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
327
2.52 IPS |
|
|
Depth Estimation (HP)
|
100% |
246
1.89 IPS |
|
|
Depth Estimation (Q)
|
79% |
4260
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
523
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
401
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2620
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2795
103.6 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.30 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.4 IPS |
|
|
Text Classification (Q)
|
93% |
98
131.1 IPS |
|
|
Machine Translation (SP)
|
100% |
119
2.05 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
54% |
139
3.93 IPS |
