Samsung Galaxy S24 FE (SM-S721B) samsung SM-S721B
Geekbench AI Score
287
Single Precision Score
303
Half Precision Score
834
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | March 01 2025 04:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S721B |
| Model ID | samsung SM-S721B |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.11 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.8 IPS |
|
|
Image Classification (Q)
|
99% |
594
110.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
605
9.84 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1617
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
87% |
651
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
1328
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
516
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1229
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
845
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
840
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2011
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
917
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (HP)
|
100% |
346
462.1 IPS |
|
|
Text Classification (Q)
|
91% |
314
422.0 IPS |
|
|
Machine Translation (SP)
|
100% |
556
9.57 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
57% |
456
11.1 IPS |
