Microsoft Surface Duo
Geekbench AI Score
237
Single Precision Score
238
Half Precision Score
507
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Zuluman |
| Upload Date | September 06 2024 01:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (Q)
|
99% |
319
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
348
5.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
257
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
257
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
964
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
87% |
354
28.4 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.15 IPS |
|
|
Face Detection (HP)
|
100% |
353
4.19 IPS |
|
|
Face Detection (Q)
|
97% |
707
8.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
300
2.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
673
6.10 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1475
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
148
5.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
529
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.9 IPS |
|
|
Text Classification (HP)
|
100% |
214
285.5 IPS |
|
|
Text Classification (Q)
|
91% |
339
455.4 IPS |
|
|
Machine Translation (SP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.11 IPS |
|
|
Machine Translation (Q)
|
57% |
240
5.87 IPS |
