Samsung Galaxy S24+
Geekbench AI Score
2589
Single Precision Score
2648
Half Precision Score
4068
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 12:22 PM |
| Views | 2 |
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% |
1991
370.2 IPS |
|
|
Image Classification (HP)
|
100% |
2237
415.9 IPS |
|
|
Image Classification (Q)
|
100% |
3196
594.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3905
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4029
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3883
4.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
9090
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1996
158.8 IPS |
|
|
Object Detection (HP)
|
98% |
2044
162.7 IPS |
|
|
Object Detection (Q)
|
83% |
2816
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (Q)
|
95% |
6551
78.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3587
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3608
27.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6559
60.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9214
12.0 IPS |
|
|
Style Transfer (HP)
|
89% |
9824
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19188
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1997
73.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4848
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1332
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
731
25.9 IPS |
