Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
648
Single Precision Score
642
Half Precision Score
1172
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 12:11 AM |
| Views | 5 |
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% |
275
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.6 IPS |
|
|
Image Classification (Q)
|
100% |
803
149.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2107
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
83% |
760
61.4 IPS |
|
|
Face Detection (SP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
95% |
2052
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1209
9.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
1202
9.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
1900
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2463
3.20 IPS |
|
|
Style Transfer (HP)
|
89% |
2420
3.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4811
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
300
400.3 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
88% |
545
734.9 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
