Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
259
Single Precision Score
368
Half Precision Score
357
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 07:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S21 Ultra 5G |
| Model ID | samsung SM-G998N |
| 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% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
355
65.9 IPS |
|
|
Image Classification (Q)
|
99% |
334
62.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
133
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
166
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
165
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.5 IPS |
|
|
Object Detection (Q)
|
83% |
264
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
959
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
366
2.82 IPS |
|
|
Depth Estimation (Q)
|
62% |
297
2.81 IPS |
|
|
Style Transfer (SP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
1012
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
188
6.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
318
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.2 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.6 IPS |
|
|
Text Classification (Q)
|
91% |
262
352.0 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.18 IPS |
