Microsoft Surface Duo
Geekbench AI Score
326
Single Precision Score
498
Half Precision Score
501
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 15 2024 08:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
97% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
280
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
248
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
1107
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.16 IPS |
|
|
Depth Estimation (Q)
|
75% |
773
6.25 IPS |
|
|
Style Transfer (SP)
|
100% |
950
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
2195
2.82 IPS |
|
|
Style Transfer (Q)
|
98% |
2176
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
507
18.8 IPS |
|
|
Text Classification (SP)
|
100% |
204
271.7 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.0 IPS |
|
|
Text Classification (Q)
|
91% |
340
457.5 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
57% |
241
5.89 IPS |
