Microsoft Surface Duo 2
Geekbench AI Score
348
Single Precision Score
322
Half Precision Score
669
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | OneZeroTwo |
| Upload Date | October 02 2025 11:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Microsoft Surface Duo 2 |
| Model ID | Microsoft Surface Duo 2 |
| Motherboard | surfaceduo2 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
100% |
481
89.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1432
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
651
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
1079
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
83% |
701
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.71 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
95% |
940
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1707
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1140
1.48 IPS |
|
|
Style Transfer (HP)
|
89% |
1239
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2244
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
625
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
172
230.1 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (Q)
|
88% |
274
370.0 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.58 IPS |
