Samsung Galaxy S20+
Geekbench AI Score
229
Single Precision Score
317
Half Precision Score
311
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.1 IPS |
|
|
Image Classification (Q)
|
99% |
272
50.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
363
5.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
158
0.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
157
0.18 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (Q)
|
83% |
203
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.89 IPS |
|
|
Face Detection (Q)
|
97% |
737
8.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
250
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
331
2.55 IPS |
|
|
Depth Estimation (Q)
|
62% |
268
2.54 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
908
1.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
255
9.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.38 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
91% |
270
363.5 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
222
5.43 IPS |
