Samsung Galaxy S24+
Geekbench AI Score
2509
Single Precision Score
2438
Half Precision Score
3747
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:15 AM |
| Views | 1 |
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% |
1934
359.7 IPS |
|
|
Image Classification (HP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (Q)
|
100% |
2423
450.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3502
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
7637
9.06 IPS |
|
|
Object Detection (SP)
|
98% |
1850
147.2 IPS |
|
|
Object Detection (HP)
|
98% |
1863
148.2 IPS |
|
|
Object Detection (Q)
|
83% |
2534
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
3518
41.8 IPS |
|
|
Face Detection (Q)
|
95% |
6850
81.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3545
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3518
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6250
57.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9056
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8908
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16941
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4785
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
1179
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (Q)
|
50% |
812
28.8 IPS |
