Samsung Galaxy Note10+
Geekbench AI Score
363
Single Precision Score
435
Half Precision Score
612
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 02 2025 05:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
406
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
97% |
1049
195.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1024
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1246
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
10486
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (Q)
|
85% |
1131
91.0 IPS |
|
|
Face Detection (SP)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
2944
35.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.33 IPS |
|
|
Depth Estimation (Q)
|
22% |
220
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
724
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3430
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3927
145.5 IPS |
|
|
Text Classification (SP)
|
71% |
8
10.9 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.1 IPS |
|
|
Text Classification (Q)
|
93% |
67
89.3 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.02 IPS |
|
|
Machine Translation (Q)
|
0
|
