Samsung Galaxy S20+
Geekbench AI Score
802
Single Precision Score
777
Half Precision Score
1369
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 990 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20+ |
| Model ID | samsung SM-G985F |
| 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% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
100% |
905
168.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
476
7.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1201
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1765
2.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
2944
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1022
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
2420
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1459
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1441
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2550
23.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3075
3.99 IPS |
|
|
Style Transfer (HP)
|
89% |
2991
3.88 IPS |
|
|
Style Transfer (Q)
|
98% |
6323
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1558
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
355
473.2 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.2 IPS |
|
|
Text Classification (Q)
|
88% |
509
687.0 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
50% |
230
8.18 IPS |
