Samsung Galaxy S20
Geekbench AI Score
264
Single Precision Score
320
Half Precision Score
352
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 |
| Model ID | samsung SM-G980F |
| Motherboard | exynos990 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 4 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.50 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
173
32.2 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
393
73.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
418
6.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4956
5.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
1143
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
427
34.2 IPS |
|
|
Face Detection (SP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
755
9.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
174
1.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
451
4.09 IPS |
|
|
Style Transfer (SP)
|
100% |
417
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
369
0.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
347
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
56
75.1 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.1 IPS |
|
|
Text Classification (Q)
|
91% |
48
64.5 IPS |
|
|
Machine Translation (SP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
57% |
175
4.29 IPS |
