Samsung Galaxy Note10+
Geekbench AI Score
792
Single Precision Score
788
Half Precision Score
1444
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | March 01 2025 05:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
100% |
1096
203.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1296
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1727
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1672
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
2673
3.17 IPS |
|
|
Object Detection (SP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (Q)
|
83% |
1049
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2478
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1365
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1362
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2419
22.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2935
3.81 IPS |
|
|
Style Transfer (HP)
|
89% |
2898
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
5062
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1318
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.3 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.2 IPS |
|
|
Text Classification (Q)
|
88% |
655
883.4 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
