Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
230
Single Precision Score
311
Half Precision Score
346
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | dexterv |
| Upload Date | August 20 2024 01:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998B |
| Motherboard | exynos2100 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores @ 2.21 GHz |
| Cluster 2 | 3 Cores @ 2.81 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 10.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.7 IPS |
|
|
Image Classification (Q)
|
97% |
296
55.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
305
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
904
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (Q)
|
98% |
894
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.84 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.81 IPS |
|
|
Object Detection (Q)
|
89% |
333
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
612
7.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
254
1.96 IPS |
|
|
Depth Estimation (HP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (Q)
|
73% |
703
5.75 IPS |
|
|
Style Transfer (SP)
|
100% |
452
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
421
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
453
0.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
50
67.0 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.2 IPS |
|
|
Text Classification (Q)
|
91% |
45
60.4 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.16 IPS |
