Samsung Galaxy S20+ 5G
Geekbench AI Score
251
Single Precision Score
252
Half Precision Score
589
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 03:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986N |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 10.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (HP)
|
100% |
158
29.3 IPS |
|
|
Image Classification (Q)
|
99% |
395
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
404
6.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
992
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
154
12.2 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
87% |
435
34.9 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
857
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
761
6.90 IPS |
|
|
Style Transfer (SP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1515
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
596
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.9 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (Q)
|
91% |
386
519.2 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (HP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (Q)
|
57% |
322
7.86 IPS |
