Samsung Galaxy Note10+
Geekbench AI Score
241
Single Precision Score
243
Half Precision Score
535
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 04 2025 07:09 AM |
| Views | 5 |
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% |
147
27.4 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (Q)
|
99% |
345
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
350
5.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
257
0.30 IPS |
|
|
Pose Estimation (Q)
|
98% |
982
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
87% |
393
31.5 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
735
8.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
306
2.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
308
2.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
713
6.47 IPS |
|
|
Style Transfer (SP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
1505
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
150
5.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
150
5.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
565
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.2 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.6 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.3 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.71 IPS |
