Microsoft Surface Duo
Geekbench AI Score
283
Single Precision Score
291
Half Precision Score
591
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Zuluman |
| Upload Date | August 18 2024 10:43 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
100% |
446
83.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
476
7.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
604
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1128
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
463
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
340
4.04 IPS |
|
|
Face Detection (HP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (Q)
|
95% |
827
9.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
449
3.46 IPS |
|
|
Depth Estimation (HP)
|
100% |
484
3.73 IPS |
|
|
Depth Estimation (Q)
|
75% |
1101
8.92 IPS |
|
|
Style Transfer (SP)
|
89% |
1128
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1117
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2220
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
255
9.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
254
9.38 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
592
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.3 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.3 IPS |
|
|
Text Classification (Q)
|
88% |
240
324.1 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.87 IPS |
