Microsoft Surface Duo
Geekbench AI Score
228
Single Precision Score
331
Half Precision Score
349
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | January 07 2025 06:44 AM |
| Views | 4 |
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% |
207
38.6 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
97% |
369
68.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
207
3.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
436
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
321
0.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
320
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
89% |
232
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
979
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
890
6.88 IPS |
|
|
Depth Estimation (Q)
|
62% |
728
6.89 IPS |
|
|
Style Transfer (SP)
|
100% |
964
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2397
3.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2371
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
477
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
40
53.5 IPS |
|
|
Text Classification (HP)
|
100% |
40
53.8 IPS |
|
|
Text Classification (Q)
|
91% |
92
123.6 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.43 IPS |
|
|
Machine Translation (HP)
|
100% |
83
1.42 IPS |
|
|
Machine Translation (Q)
|
57% |
64
1.57 IPS |
