Samsung Galaxy S21+ 5G
Geekbench AI Score
396
Single Precision Score
609
Half Precision Score
615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Jkm20 |
| Upload Date | March 03 2025 01:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996B |
| 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 | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
357
66.5 IPS |
|
|
Image Classification (Q)
|
99% |
336
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
466
7.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
132
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
349
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.8 IPS |
|
|
Object Detection (HP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (Q)
|
83% |
554
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1906
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
581
4.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
758
5.84 IPS |
|
|
Depth Estimation (Q)
|
62% |
616
5.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1234
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2127
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2119
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
374
13.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
634
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
249
331.8 IPS |
|
|
Text Classification (HP)
|
100% |
247
330.3 IPS |
|
|
Text Classification (Q)
|
91% |
471
633.1 IPS |
|
|
Machine Translation (SP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
57% |
349
8.54 IPS |
