Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
696
Single Precision Score
685
Half Precision Score
1234
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cmert |
| Upload Date | December 28 2024 10:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
352
65.5 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
100% |
1070
199.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1297
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1424
1.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
2140
2.54 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
83% |
822
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
985
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2039
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1221
9.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
1330
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1905
17.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2427
3.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2420
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4666
6.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
701
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1145
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.9 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.0 IPS |
|
|
Text Classification (Q)
|
88% |
549
740.2 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
