Microsoft Surface Duo
Geekbench AI Score
289
Single Precision Score
285
Half Precision Score
586
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Zuluman |
| Upload Date | August 15 2024 08:27 PM |
| Views | 17 |
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% |
148
27.4 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
100% |
431
80.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
584
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
600
0.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
1307
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
153
12.2 IPS |
|
|
Object Detection (Q)
|
87% |
460
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.14 IPS |
|
|
Face Detection (Q)
|
95% |
833
9.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.70 IPS |
|
|
Depth Estimation (HP)
|
100% |
498
3.83 IPS |
|
|
Depth Estimation (Q)
|
75% |
1024
8.30 IPS |
|
|
Style Transfer (SP)
|
89% |
1322
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1112
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2295
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
583
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
132
175.9 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.6 IPS |
|
|
Text Classification (Q)
|
88% |
225
303.1 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
50% |
156
5.53 IPS |
