Samsung Galaxy Note10+
Geekbench AI Score
316
Single Precision Score
495
Half Precision Score
511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 09:50 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% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
97% |
267
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
441
7.17 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% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (Q)
|
89% |
312
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
507
6.02 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.11 IPS |
|
|
Depth Estimation (Q)
|
62% |
752
7.12 IPS |
|
|
Style Transfer (SP)
|
100% |
969
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2404
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
2394
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
200
266.7 IPS |
|
|
Text Classification (HP)
|
100% |
205
274.1 IPS |
|
|
Text Classification (Q)
|
91% |
342
460.4 IPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
57% |
275
6.73 IPS |
