Samsung Galaxy Note10+
Geekbench AI Score
339
Single Precision Score
525
Half Precision Score
535
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 02 2025 12:27 AM |
| Views | 3 |
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% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.6 IPS |
|
|
Image Classification (Q)
|
97% |
350
65.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
432
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% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
89% |
311
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
1144
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.09 IPS |
|
|
Depth Estimation (Q)
|
62% |
754
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
968
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2407
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2399
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% |
212
282.4 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.9 IPS |
|
|
Text Classification (Q)
|
91% |
343
460.4 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.73 IPS |
