Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
229
Single Precision Score
313
Half Precision Score
347
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Angus72 |
| Upload Date | September 17 2024 01:45 PM |
| Views | 2 |
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 | 14.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (Q)
|
97% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
903
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.84 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (Q)
|
89% |
329
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (Q)
|
97% |
613
7.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
255
1.97 IPS |
|
|
Depth Estimation (HP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
73% |
700
5.73 IPS |
|
|
Style Transfer (SP)
|
100% |
457
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
412
0.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
48
63.6 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.3 IPS |
|
|
Text Classification (Q)
|
91% |
53
70.8 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.92 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.18 IPS |
