Microsoft Surface Duo
Geekbench AI Score
264
Single Precision Score
404
Half Precision Score
1332
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Zuluman |
| Upload Date | August 15 2024 09:17 PM |
| Views | 6 |
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% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
97% |
1042
194.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
961
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1138
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
10277
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
89% |
926
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
2682
32.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
429
3.31 IPS |
|
|
Depth Estimation (HP)
|
100% |
303
2.33 IPS |
|
|
Depth Estimation (Q)
|
79% |
5699
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
708
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
2730
3.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4002
148.3 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.32 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.9 IPS |
|
|
Text Classification (Q)
|
93% |
79
105.7 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.46 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
54% |
140
3.94 IPS |
