Samsung Galaxy Note10+
Geekbench AI Score
617
Single Precision Score
614
Half Precision Score
1164
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 06:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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
75.6 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
100% |
1103
205.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
1353
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1730
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1708
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
2754
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
1083
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
2541
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1399
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1462
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2498
22.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2975
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2871
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
6054
7.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
156
207.7 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.3 IPS |
|
|
Text Classification (Q)
|
88% |
267
359.9 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.40 IPS |
|
|
Machine Translation (Q)
|
50% |
162
5.76 IPS |
