Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
268
Single Precision Score
380
Half Precision Score
373
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 24 2024 11:52 PM |
| Views | 1 |
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 | 10.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.3 IPS |
|
|
Image Classification (Q)
|
99% |
341
63.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
133
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
166
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
83% |
272
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (HP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1059
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
364
2.81 IPS |
|
|
Depth Estimation (Q)
|
62% |
296
2.80 IPS |
|
|
Style Transfer (SP)
|
100% |
589
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1012
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
320
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.1 IPS |
|
|
Text Classification (HP)
|
100% |
183
244.3 IPS |
|
|
Text Classification (Q)
|
91% |
302
406.4 IPS |
|
|
Machine Translation (SP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.95 IPS |
