Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
692
Single Precision Score
685
Half Precision Score
1237
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ajebulon |
| Upload Date | May 14 2025 08:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.2 IPS |
|
|
Image Classification (Q)
|
100% |
1077
200.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1267
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1795
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1520
1.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
2107
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
83% |
776
62.7 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2043
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1167
8.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1175
9.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
1893
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2412
3.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2428
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4788
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
730
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
682
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.7 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (Q)
|
88% |
542
731.0 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.59 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
