Samsung Galaxy Note10+
Geekbench AI Score
316
Single Precision Score
494
Half Precision Score
511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 10:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
97% |
268
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
441
7.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
431
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
322
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
89% |
311
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
506
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
1136
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
467
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
914
7.06 IPS |
|
|
Depth Estimation (Q)
|
62% |
757
7.17 IPS |
|
|
Style Transfer (SP)
|
100% |
969
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2404
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2395
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
538
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.1 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.4 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.3 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (Q)
|
57% |
274
6.69 IPS |
