Samsung Galaxy S20 Ultra 5G
Geekbench AI Score
333
Single Precision Score
432
Half Precision Score
1150
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 10:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 Ultra 5G |
| Model ID | samsung SM-G988U |
| 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% |
394
73.3 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
97% |
960
179.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5309
6.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
11408
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
85% |
1465
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
1090
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
3525
42.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
490
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.40 IPS |
|
|
Depth Estimation (Q)
|
22% |
264
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
625
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
367
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2814
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5163
191.3 IPS |
|
|
Text Classification (SP)
|
71% |
5
6.53 IPS |
|
|
Text Classification (HP)
|
100% |
140
186.5 IPS |
|
|
Text Classification (Q)
|
93% |
135
181.6 IPS |
|
|
Machine Translation (SP)
|
100% |
141
2.43 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
54% |
153
4.30 IPS |
