Samsung Galaxy Note10+
Geekbench AI Score
302
Single Precision Score
299
Half Precision Score
579
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 05:14 AM |
| Views | 2 |
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% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
100% |
429
79.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
512
8.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
633
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1029
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (Q)
|
83% |
423
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (HP)
|
100% |
360
4.28 IPS |
|
|
Face Detection (Q)
|
95% |
802
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
513
3.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
965
8.84 IPS |
|
|
Style Transfer (SP)
|
89% |
1068
1.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1069
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2406
3.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
140
187.3 IPS |
|
|
Text Classification (HP)
|
100% |
140
187.2 IPS |
|
|
Text Classification (Q)
|
88% |
247
333.3 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.71 IPS |
