Samsung Galaxy S24+
Geekbench AI Score
2529
Single Precision Score
2514
Half Precision Score
3797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 03:17 PM |
| Views | 3 |
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-S926B |
| 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% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
2232
415.1 IPS |
|
|
Image Classification (Q)
|
100% |
3116
579.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3927
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3853
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3805
4.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
8686
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1999
159.0 IPS |
|
|
Object Detection (HP)
|
98% |
1889
150.3 IPS |
|
|
Object Detection (Q)
|
83% |
2894
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (Q)
|
95% |
6733
80.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3718
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3766
29.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6937
63.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9278
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9324
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17646
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1844
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3858
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
659
880.1 IPS |
|
|
Text Classification (HP)
|
99% |
662
883.3 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
703
24.9 IPS |
