Samsung Galaxy S20+ 5G - Jordan Personal Phone Samsung Galaxy S20+ 5G
Geekbench AI Score
302
Single Precision Score
547
Half Precision Score
614
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | jordatech |
| Upload Date | April 14 2026 09:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (Q)
|
99% |
398
74.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
481
7.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
92% |
1307
1.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
1213
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
97% |
308
24.5 IPS |
|
|
Object Detection (Q)
|
85% |
394
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (Q)
|
97% |
828
9.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
1022
7.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
1015
9.37 IPS |
|
|
Style Transfer (SP)
|
89% |
1103
1.43 IPS |
|
|
Style Transfer (HP)
|
88% |
1487
1.93 IPS |
|
|
Style Transfer (Q)
|
98% |
2520
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
558
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.2 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.1 IPS |
|
|
Text Classification (Q)
|
93% |
275
369.1 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (HP)
|
96% |
353
6.10 IPS |
|
|
Machine Translation (Q)
|
55% |
229
6.14 IPS |
