Samsung Galaxy S20+ 5G - Jordan Personal Phone Samsung Galaxy S20+ 5G
Geekbench AI Score
56
Single Precision Score
57
Half Precision Score
138
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Benjamin_Personal |
| Upload Date | April 14 2026 11:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy S20+ 5G |
| Model ID | samsung SM-G986U |
| 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% |
31
5.79 IPS |
|
|
Image Classification (HP)
|
100% |
32
5.87 IPS |
|
|
Image Classification (Q)
|
99% |
87
16.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
40
0.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
41
0.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
82
1.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
60
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
61
0.07 IPS |
|
|
Pose Estimation (Q)
|
98% |
242
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
32
2.53 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.57 IPS |
|
|
Object Detection (Q)
|
87% |
106
8.48 IPS |
|
|
Face Detection (SP)
|
100% |
76
0.91 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.92 IPS |
|
|
Face Detection (Q)
|
97% |
198
2.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
76
0.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
76
0.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
177
1.61 IPS |
|
|
Style Transfer (SP)
|
100% |
133
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
365
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40
1.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40
1.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
149
5.53 IPS |
|
|
Text Classification (SP)
|
100% |
55
73.5 IPS |
|
|
Text Classification (HP)
|
100% |
56
74.2 IPS |
|
|
Text Classification (Q)
|
91% |
97
129.8 IPS |
|
|
Machine Translation (SP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (HP)
|
100% |
84
1.45 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.85 IPS |
