Samsung Galaxy Note10+ samsung SM-N975F
Geekbench AI Score
56
Single Precision Score
1041
Half Precision Score
855
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rennsport |
| Upload Date | March 04 2026 02:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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)
|
0% |
0
80.0 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
97% |
497
92.8 IPS |
|
|
Image Segmentation (SP)
|
73% |
614
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1148
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
6290
7.37 IPS |
|
|
Object Detection (SP)
|
1% |
0
25.6 IPS |
|
|
Object Detection (HP)
|
99% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
0% |
0
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (Q)
|
96% |
1858
22.2 IPS |
|
|
Depth Estimation (SP)
|
2% |
5
12.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2155
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4941
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
10796
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10658
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1575
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1510
56.0 IPS |
|
|
Text Classification (SP)
|
35% |
19
168.5 IPS |
|
|
Text Classification (HP)
|
29% |
13
228.8 IPS |
|
|
Text Classification (Q)
|
32% |
18
233.1 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
43% |
105
6.13 IPS |
