Samsung Galaxy Note10+
Geekbench AI Score
302
Single Precision Score
296
Half Precision Score
577
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 04:57 AM |
| Views | 6 |
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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
100% |
430
80.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
657
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
1169
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
83% |
376
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
|
Face Detection (Q)
|
95% |
834
9.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
64% |
969
8.87 IPS |
|
|
Style Transfer (SP)
|
89% |
1083
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1078
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2471
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
299
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
601
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
144
192.5 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.4 IPS |
|
|
Text Classification (Q)
|
88% |
241
325.4 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.57 IPS |
