Microsoft Surface Duo
Geekbench AI Score
263
Single Precision Score
402
Half Precision Score
1264
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Zuluman |
| Upload Date | September 06 2024 12:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Microsoft Surface Duo |
| Model ID | Microsoft Surface Duo |
| Motherboard | surfaceduo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
97% |
905
168.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
903
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
10311
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
888
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
2413
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
302
2.33 IPS |
|
|
Depth Estimation (Q)
|
63% |
4784
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2771
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3955
146.6 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.23 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.1 IPS |
|
|
Text Classification (Q)
|
93% |
79
106.5 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.51 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (Q)
|
54% |
140
3.94 IPS |
