Samsung Galaxy Note10+ samsung SM-N975F
Geekbench AI Score
283
Single Precision Score
283
Half Precision Score
553
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 04 2026 03:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-N975F |
| Model ID | samsung SM-N975F |
| Motherboard | exynos9825 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
99% |
353
65.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
409
6.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
971
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
369
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
415
4.94 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
97% |
799
9.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
372
2.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
735
6.67 IPS |
|
|
Style Transfer (SP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (Q)
|
98% |
1500
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
559
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.0 IPS |
|
|
Text Classification (HP)
|
100% |
233
310.9 IPS |
|
|
Text Classification (Q)
|
91% |
386
518.4 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.66 IPS |
