Samsung Galaxy S24+
Geekbench AI Score
2692
Single Precision Score
2701
Half Precision Score
4285
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 08:14 AM |
| Views | 1 |
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% |
1964
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (Q)
|
100% |
3498
650.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3966
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4047
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3972
4.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
8931
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
2009
159.9 IPS |
|
|
Object Detection (HP)
|
98% |
2025
161.1 IPS |
|
|
Object Detection (Q)
|
83% |
2691
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (Q)
|
95% |
7320
87.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3753
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3885
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6965
63.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9827
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10002
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19947
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4831
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
99% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1497
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
852
30.2 IPS |
