Samsung Galaxy Note10+
Geekbench AI Score
308
Single Precision Score
306
Half Precision Score
587
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 03:24 AM |
| Views | 7 |
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% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
100% |
455
84.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
183
2.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
514
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1091
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
167
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
83% |
460
37.2 IPS |
|
|
Face Detection (SP)
|
100% |
389
4.62 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
95% |
859
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
536
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
535
4.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
966
8.85 IPS |
|
|
Style Transfer (SP)
|
89% |
1101
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1114
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2236
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
595
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.5 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.6 IPS |
|
|
Text Classification (Q)
|
88% |
240
323.4 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.33 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.57 IPS |
