Samsung Galaxy Note10+
Geekbench AI Score
307
Single Precision Score
346
Half Precision Score
589
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 02 2025 06:33 PM |
| 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% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.8 IPS |
|
|
Image Classification (Q)
|
97% |
1057
197.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
993
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1245
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2982
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
10388
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.3 IPS |
|
|
Object Detection (Q)
|
85% |
1108
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (Q)
|
97% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
442
3.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
231
1.78 IPS |
|
|
Depth Estimation (Q)
|
22% |
217
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
342
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2431
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
521
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4255
157.7 IPS |
|
|
Text Classification (SP)
|
71% |
5
7.40 IPS |
|
|
Text Classification (HP)
|
100% |
132
175.6 IPS |
|
|
Text Classification (Q)
|
93% |
65
87.0 IPS |
|
|
Machine Translation (SP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
0
|
