Microsoft Surface Duo
Geekbench AI Score
623
Single Precision Score
556
Half Precision Score
1112
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Zuluman |
| Upload Date | August 17 2024 06:16 PM |
| 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% |
470
87.5 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
100% |
1371
255.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
1548
25.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
3644
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
87% |
1373
110.3 IPS |
|
|
Face Detection (SP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
3124
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (Q)
|
75% |
1136
9.21 IPS |
|
|
Style Transfer (SP)
|
89% |
1143
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1154
1.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2564
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
155
207.3 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.4 IPS |
|
|
Text Classification (Q)
|
88% |
264
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
50% |
181
6.44 IPS |
