Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
483
Single Precision Score
677
Half Precision Score
661
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ajebulon |
| Upload Date | May 14 2025 09:15 AM |
| Views | 5 |
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% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
349
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
83% |
527
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
1934
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
579
4.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
749
5.77 IPS |
|
|
Depth Estimation (Q)
|
62% |
602
5.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1232
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2126
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2123
2.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
632
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
621
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.8 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.3 IPS |
|
|
Text Classification (Q)
|
91% |
489
656.8 IPS |
|
|
Machine Translation (SP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
57% |
378
9.25 IPS |
