Microsoft Surface Duo
Geekbench AI Score
212
Single Precision Score
144
Half Precision Score
1070
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | January 07 2025 07:39 AM |
| Views | 19 |
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% |
326
60.6 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
97% |
935
174.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
38
0.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
934
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1240
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
10395
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
100% |
30
2.37 IPS |
|
|
Object Detection (Q)
|
85% |
904
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
72
0.85 IPS |
|
|
Face Detection (Q)
|
97% |
2487
29.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
167
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
70
0.54 IPS |
|
|
Depth Estimation (Q)
|
63% |
4961
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
209
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
125
0.16 IPS |
|
|
Style Transfer (Q)
|
98% |
962
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
660
24.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3997
148.1 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.34 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.8 IPS |
|
|
Text Classification (Q)
|
93% |
83
111.4 IPS |
|
|
Machine Translation (SP)
|
100% |
77
1.32 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
54% |
61
1.72 IPS |
