Samsung Galaxy S21 5G
Geekbench AI Score
243
Single Precision Score
345
Half Precision Score
362
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 12:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Samsung Exynos 2100 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S21 5G |
| Model ID | samsung SM-G991B |
| 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% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
133
24.8 IPS |
|
|
Image Classification (Q)
|
97% |
302
56.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
883
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.57 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.61 IPS |
|
|
Object Detection (Q)
|
89% |
322
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
97% |
596
7.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.94 IPS |
|
|
Depth Estimation (HP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
73% |
677
5.54 IPS |
|
|
Style Transfer (SP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
445
0.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
488
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
48
63.9 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.4 IPS |
|
|
Text Classification (Q)
|
91% |
60
80.2 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.04 IPS |
