Samsung Galaxy Note10+ samsung SM-N975F
Geekbench AI Score
522
Single Precision Score
955
Half Precision Score
727
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 04 2026 12:21 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
265
49.3 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
522
97.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
637
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (HP)
|
92% |
2253
2.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
949
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.3 IPS |
|
|
Object Detection (HP)
|
97% |
477
37.9 IPS |
|
|
Object Detection (Q)
|
85% |
474
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
1358
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
1332
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
944
7.27 IPS |
|
|
Depth Estimation (HP)
|
98% |
1838
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1038
9.58 IPS |
|
|
Style Transfer (SP)
|
89% |
1803
2.34 IPS |
|
|
Style Transfer (HP)
|
88% |
2611
3.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2336
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1036
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
584
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
244
325.6 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.0 IPS |
|
|
Text Classification (Q)
|
93% |
394
529.6 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.35 IPS |
|
|
Machine Translation (HP)
|
96% |
687
11.9 IPS |
|
|
Machine Translation (Q)
|
55% |
374
10.0 IPS |
