Samsung Galaxy S21+ 5G
Geekbench AI Score
413
Single Precision Score
554
Half Precision Score
639
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | September 15 2024 05:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21+ 5G |
| Model ID | samsung SM-G996N |
| 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% |
203
37.8 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
99% |
584
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
612
9.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1683
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6171
7.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
1572
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
87% |
631
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
488
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
97% |
1171
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
430
3.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
431
3.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1129
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
881
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
710
0.91 IPS |
|
|
Style Transfer (Q)
|
98% |
888
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
903
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.1 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.1 IPS |
|
|
Text Classification (Q)
|
91% |
77
103.4 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
57% |
397
9.71 IPS |
