Samsung Galaxy S20+
Geekbench AI Score
987
Single Precision Score
971
Half Precision Score
1802
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 10:27 PM |
| 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-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% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
100% |
1323
246.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
551
8.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2271
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3566
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1279
103.3 IPS |
|
|
Face Detection (SP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
95% |
3045
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1791
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1823
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3202
29.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3778
4.90 IPS |
|
|
Style Transfer (HP)
|
89% |
3800
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
7699
9.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1900
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (HP)
|
100% |
425
566.7 IPS |
|
|
Text Classification (Q)
|
88% |
721
972.2 IPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
