Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
852
Single Precision Score
862
Half Precision Score
1605
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:09 PM |
| Views | 2 |
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-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% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
100% |
1195
222.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1702
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2115
2.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2873
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
83% |
997
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
2508
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1688
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1689
13.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2541
23.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3122
4.05 IPS |
|
|
Style Transfer (HP)
|
89% |
3092
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
6317
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1610
59.7 IPS |
|
|
Text Classification (SP)
|
100% |
400
534.4 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.4 IPS |
|
|
Text Classification (Q)
|
88% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
403
14.3 IPS |
