Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
259
Single Precision Score
369
Half Precision Score
362
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 | GPU |
| 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% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
97% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
466
7.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
132
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
166
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
274
21.7 IPS |
|
|
Object Detection (Q)
|
92% |
267
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
734
8.72 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
946
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
365
2.81 IPS |
|
|
Depth Estimation (Q)
|
72% |
337
2.79 IPS |
|
|
Style Transfer (SP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1015
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1011
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.8 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.3 IPS |
|
|
Text Classification (Q)
|
91% |
262
352.3 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.92 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.19 IPS |
