Samsung Galaxy Note10+
Geekbench AI Score
309
Single Precision Score
337
Half Precision Score
586
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 02 2025 08:06 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% |
369
68.6 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
97% |
1047
195.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2976
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
10417
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.4 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
85% |
1120
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
97% |
2892
34.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
448
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
222
1.71 IPS |
|
|
Depth Estimation (Q)
|
22% |
219
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
341
0.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2439
3.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3923
145.4 IPS |
|
|
Text Classification (SP)
|
71% |
5
7.34 IPS |
|
|
Text Classification (HP)
|
100% |
132
175.6 IPS |
|
|
Text Classification (Q)
|
93% |
65
86.9 IPS |
|
|
Machine Translation (SP)
|
100% |
170
2.92 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
0
|
