Samsung Galaxy S24 FE
Geekbench AI Score
3576
Single Precision Score
24914
Half Precision Score
46891
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400e |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 FE |
| Model ID | samsung SM-S721W |
| 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% |
1599
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
16058
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
32455
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12547
204.1 IPS |
|
|
Image Segmentation (Q)
|
96% |
28636
466.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14640
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
87004
101.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
302608
354.4 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
14030
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24056
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5109
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
39284
466.8 IPS |
|
|
Face Detection (Q)
|
97% |
99255
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
56834
451.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
105995
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29359
37.7 IPS |
|
|
Style Transfer (HP)
|
99% |
174437
224.2 IPS |
|
|
Style Transfer (Q)
|
98% |
265873
342.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4238
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22820
858.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59299
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
644
860.2 IPS |
|
|
Text Classification (HP)
|
100% |
6934
9.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8181
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5598
143.6 IPS |
