Samsung Galaxy S24
Geekbench AI Score
1799
Single Precision Score
1750
Half Precision Score
2583
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| 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 @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (Q)
|
100% |
1288
239.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2401
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3022
3.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
6325
7.50 IPS |
|
|
Object Detection (SP)
|
98% |
1353
107.7 IPS |
|
|
Object Detection (HP)
|
98% |
1344
107.0 IPS |
|
|
Object Detection (Q)
|
83% |
1898
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (Q)
|
95% |
4472
53.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3075
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2996
23.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4488
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7366
9.56 IPS |
|
|
Style Transfer (HP)
|
89% |
4686
6.08 IPS |
|
|
Style Transfer (Q)
|
98% |
12308
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3000
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
558
745.2 IPS |
|
|
Text Classification (HP)
|
99% |
542
724.1 IPS |
|
|
Text Classification (Q)
|
88% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
50% |
546
19.4 IPS |
