Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
296
Single Precision Score
555
Half Precision Score
622
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | 1soft |
| Upload Date | February 28 2026 10:11 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra 5G |
| Model ID | samsung SM-G988N |
| 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% |
171
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
491
91.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
478
7.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (HP)
|
92% |
1288
1.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
1193
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
97% |
308
24.5 IPS |
|
|
Object Detection (Q)
|
85% |
403
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
342
4.06 IPS |
|
|
Face Detection (HP)
|
100% |
663
7.87 IPS |
|
|
Face Detection (Q)
|
97% |
839
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
98% |
1012
7.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1009
9.31 IPS |
|
|
Style Transfer (SP)
|
89% |
1087
1.41 IPS |
|
|
Style Transfer (HP)
|
88% |
1531
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
2478
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
568
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
624
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.0 IPS |
|
|
Text Classification (HP)
|
100% |
255
339.7 IPS |
|
|
Text Classification (Q)
|
93% |
268
359.8 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
96% |
329
5.69 IPS |
|
|
Machine Translation (Q)
|
55% |
220
5.92 IPS |
