Samsung Galaxy S24 FE (SM-S721B) samsung SM-S721B
Geekbench AI Score
2629
Single Precision Score
2591
Half Precision Score
4015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | March 01 2025 04:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1739
323.5 IPS |
|
|
Image Classification (HP)
|
100% |
1863
346.4 IPS |
|
|
Image Classification (Q)
|
100% |
2868
533.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3542
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3960
4.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
8987
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1998
159.0 IPS |
|
|
Object Detection (HP)
|
98% |
1829
145.5 IPS |
|
|
Object Detection (Q)
|
83% |
2751
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (Q)
|
95% |
6688
79.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4262
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4147
32.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6693
61.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9661
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9531
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18975
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2138
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4816
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
813
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
1253
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
50% |
846
30.0 IPS |
