Samsung Galaxy Note10+
Geekbench AI Score
200
Single Precision Score
198
Half Precision Score
411
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 03 2025 10:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note10+ |
| Model ID | samsung SM-N975U1 |
| Motherboard | msmnile |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (Q)
|
99% |
345
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
642
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.09 IPS |
|
|
Object Detection (HP)
|
100% |
106
8.45 IPS |
|
|
Object Detection (Q)
|
87% |
299
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
311
3.70 IPS |
|
|
Face Detection (Q)
|
97% |
614
7.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
305
2.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
712
6.46 IPS |
|
|
Style Transfer (SP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
492
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1280
1.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
326
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
124
166.0 IPS |
|
|
Text Classification (HP)
|
100% |
123
163.6 IPS |
|
|
Text Classification (Q)
|
91% |
203
273.2 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (Q)
|
57% |
161
3.94 IPS |
