Samsung Galaxy S24+
Geekbench AI Score
2465
Single Precision Score
2458
Half Precision Score
3576
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | aleks7900 |
| Upload Date | December 16 2024 01:23 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
100% |
3173
590.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3907
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3763
4.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
8477
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1912
152.1 IPS |
|
|
Object Detection (HP)
|
98% |
1875
149.2 IPS |
|
|
Object Detection (Q)
|
83% |
2626
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3742
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (Q)
|
95% |
5887
70.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3779
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3774
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5548
50.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8815
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8507
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15991
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3755
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.4 IPS |
|
|
Text Classification (HP)
|
99% |
696
928.6 IPS |
|
|
Text Classification (Q)
|
88% |
961
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (Q)
|
50% |
658
23.4 IPS |
