Samsung Galaxy Note20 5G
Geekbench AI Score
212
Single Precision Score
296
Half Precision Score
300
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 16 2025 01:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy Note20 5G |
| Model ID | samsung SM-N981B |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
361
5.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
127
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
158
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
208
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
784
9.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
332
2.56 IPS |
|
|
Depth Estimation (Q)
|
62% |
269
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
915
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
912
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
156
5.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
245
9.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
242
8.97 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.7 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.4 IPS |
|
|
Text Classification (Q)
|
91% |
238
320.2 IPS |
|
|
Machine Translation (SP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
57% |
174
4.26 IPS |
