Samsung Galaxy Note10+
Geekbench AI Score
309
Single Precision Score
306
Half Precision Score
592
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 07:05 AM |
| Views | 5 |
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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (Q)
|
100% |
450
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
493
8.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
645
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1076
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
463
37.4 IPS |
|
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
|
Face Detection (HP)
|
100% |
390
4.63 IPS |
|
|
Face Detection (Q)
|
95% |
893
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
521
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
519
4.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
986
9.03 IPS |
|
|
Style Transfer (SP)
|
89% |
1122
1.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1129
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2461
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
140
186.3 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.1 IPS |
|
|
Text Classification (Q)
|
88% |
241
324.7 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.47 IPS |
