Samsung Galaxy S21 FE
Geekbench AI Score
351
Single Precision Score
376
Half Precision Score
376
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 02:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S21 FE |
| Model ID | samsung SM-G990B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM SM8350 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
97% |
212
39.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
232
3.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
385
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.4 IPS |
|
|
Object Detection (Q)
|
89% |
256
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1251
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1208
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1126
8.70 IPS |
|
|
Depth Estimation (Q)
|
62% |
875
8.29 IPS |
|
|
Style Transfer (SP)
|
100% |
1945
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2898
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2972
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
552
20.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
522
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
49
65.8 IPS |
|
|
Text Classification (HP)
|
100% |
49
66.1 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.7 IPS |
|
|
Machine Translation (SP)
|
100% |
86
1.48 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.49 IPS |
|
|
Machine Translation (Q)
|
57% |
75
1.83 IPS |
