Samsung Galaxy S20+
Geekbench AI Score
353
Single Precision Score
492
Half Precision Score
511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 09:59 PM |
| Views | 3 |
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-G986B |
| 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 | 10.64 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
191
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (Q)
|
99% |
437
81.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
490
7.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
1448
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5046
5.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
1377
1.61 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (Q)
|
87% |
490
39.3 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
467
5.55 IPS |
|
|
Face Detection (Q)
|
97% |
884
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
413
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.20 IPS |
|
|
Depth Estimation (Q)
|
64% |
935
8.49 IPS |
|
|
Style Transfer (SP)
|
100% |
879
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
739
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
729
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
769
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
48
64.1 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.1 IPS |
|
|
Text Classification (Q)
|
91% |
48
64.0 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
57% |
380
9.29 IPS |
