Samsung Galaxy S24
Geekbench AI Score
1873
Single Precision Score
2944
Half Precision Score
2162
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:23 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
100% |
1989
369.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2577
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2349
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7804
9.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
14666
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
7964
9.33 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
85% |
894
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (Q)
|
97% |
3955
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5265
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8331
64.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
2955
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17160
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29062
37.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28565
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3147
116.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4957
183.7 IPS |
|
|
Text Classification (SP)
|
29% |
51
876.1 IPS |
|
|
Text Classification (HP)
|
35% |
104
945.6 IPS |
|
|
Text Classification (Q)
|
33% |
79
882.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
48% |
514
19.7 IPS |
