Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
369
Single Precision Score
482
Half Precision Score
523
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ajebulon |
| Upload Date | May 14 2025 09:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
135
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
293
54.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
306
4.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
1449
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
87% |
570
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (HP)
|
100% |
458
5.45 IPS |
|
|
Face Detection (Q)
|
97% |
1096
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1060
9.62 IPS |
|
|
Style Transfer (SP)
|
100% |
823
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
657
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
878
1.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
825
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.3 IPS |
|
|
Text Classification (HP)
|
100% |
279
372.1 IPS |
|
|
Text Classification (Q)
|
91% |
68
91.5 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
57% |
366
8.94 IPS |
