Samsung Galaxy Note10+
Geekbench AI Score
360
Single Precision Score
433
Half Precision Score
601
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 02 2025 06:37 AM |
| Views | 2 |
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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.5 IPS |
|
|
Image Classification (Q)
|
97% |
1046
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1245
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2990
3.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
10396
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
85% |
1122
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (Q)
|
97% |
2857
34.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
306
2.36 IPS |
|
|
Depth Estimation (Q)
|
22% |
217
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
726
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
499
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3242
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3866
143.3 IPS |
|
|
Text Classification (SP)
|
71% |
7
10.2 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.9 IPS |
|
|
Text Classification (Q)
|
93% |
65
87.2 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (Q)
|
0
|
