Samsung Galaxy Note10+
Geekbench AI Score
310
Single Precision Score
309
Half Precision Score
602
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 02:15 PM |
| Views | 4 |
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% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
459
85.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
631
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1117
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
471
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
95% |
859
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1011
9.26 IPS |
|
|
Style Transfer (SP)
|
89% |
1135
1.47 IPS |
|
|
Style Transfer (HP)
|
89% |
1127
1.46 IPS |
|
|
Style Transfer (Q)
|
98% |
2467
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
143
191.0 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.7 IPS |
|
|
Text Classification (Q)
|
88% |
254
342.1 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.73 IPS |
