Samsung Galaxy Note10 5G
Geekbench AI Score
342
Single Precision Score
330
Half Precision Score
450
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kister2099 |
| Upload Date | July 20 2025 07:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 9825 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note10 5G |
| Model ID | samsung SM-N971N |
| 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 | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (Q)
|
100% |
310
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
404
6.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
688
0.82 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.4 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
297
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (Q)
|
95% |
835
9.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
696
6.38 IPS |
|
|
Style Transfer (SP)
|
89% |
1326
1.72 IPS |
|
|
Style Transfer (HP)
|
89% |
1392
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1691
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
345
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
402
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.9 IPS |
|
|
Text Classification (Q)
|
88% |
234
315.6 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (Q)
|
50% |
144
5.10 IPS |
