Samsung Galaxy S24
Geekbench AI Score
2090
Single Precision Score
1992
Half Precision Score
2955
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2244
417.3 IPS |
|
|
Image Classification (HP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (Q)
|
100% |
2087
388.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3006
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2972
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
9075
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1851
147.3 IPS |
|
|
Object Detection (HP)
|
98% |
1464
116.5 IPS |
|
|
Object Detection (Q)
|
83% |
1998
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
4148
49.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2989
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3713
28.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6482
59.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7212
9.36 IPS |
|
|
Style Transfer (HP)
|
89% |
6787
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11816
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3065
113.6 IPS |
|
|
Text Classification (SP)
|
100% |
562
749.9 IPS |
|
|
Text Classification (HP)
|
99% |
560
747.3 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
509
18.1 IPS |
