Samsung Galaxy S20+
Geekbench AI Score
223
Single Precision Score
285
Half Precision Score
313
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:42 AM |
| Views | 1 |
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-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% |
115
21.4 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
288
4.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2674
3.12 IPS |
|
|
Pose Estimation (Q)
|
98% |
800
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.20 IPS |
|
|
Object Detection (Q)
|
87% |
307
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
290
3.45 IPS |
|
|
Face Detection (HP)
|
100% |
293
3.49 IPS |
|
|
Face Detection (Q)
|
97% |
585
6.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
248
1.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
249
1.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
575
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
385
0.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
390
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
58
77.7 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.0 IPS |
|
|
Text Classification (Q)
|
91% |
48
64.7 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
57% |
195
4.77 IPS |
