Samsung Galaxy S24+
Geekbench AI Score
2422
Single Precision Score
2472
Half Precision Score
3633
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 13 2025 11:58 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-S926N |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (Q)
|
100% |
3246
603.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3924
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3912
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
8850
10.5 IPS |
|
|
Object Detection (SP)
|
98% |
1978
157.4 IPS |
|
|
Object Detection (HP)
|
98% |
1859
147.9 IPS |
|
|
Object Detection (Q)
|
83% |
2724
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (Q)
|
95% |
5956
71.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3944
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3802
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5889
53.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8177
10.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8325
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15064
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1756
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3606
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.4 IPS |
|
|
Text Classification (HP)
|
99% |
605
806.9 IPS |
|
|
Text Classification (Q)
|
88% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
50% |
726
25.8 IPS |
