Samsung Galaxy S21 Ultra 5G
Geekbench AI Score
229
Single Precision Score
311
Half Precision Score
338
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 08:47 AM |
| Views | 2 |
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-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% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
99% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
302
4.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
893
1.05 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (Q)
|
87% |
326
26.1 IPS |
|
|
Face Detection (SP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (HP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (Q)
|
97% |
606
7.22 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
621
5.64 IPS |
|
|
Style Transfer (SP)
|
100% |
460
0.59 IPS |
|
|
Style Transfer (HP)
|
100% |
428
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
445
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
51
68.5 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.1 IPS |
|
|
Text Classification (Q)
|
91% |
44
59.0 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
57% |
211
5.16 IPS |
