Samsung Galaxy S24+
Geekbench AI Score
2407
Single Precision Score
2426
Half Precision Score
3482
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 03 2025 10:01 AM |
| 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% |
1910
355.1 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (Q)
|
100% |
2876
534.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3540
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3909
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3830
4.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
8615
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1997
159.0 IPS |
|
|
Object Detection (HP)
|
98% |
1775
141.2 IPS |
|
|
Object Detection (Q)
|
83% |
2467
199.3 IPS |
|
|
Face Detection (SP)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3442
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5163
61.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3441
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3657
28.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5590
51.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8831
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8560
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16059
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1830
67.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3855
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.8 IPS |
|
|
Text Classification (HP)
|
99% |
700
935.0 IPS |
|
|
Text Classification (Q)
|
88% |
1029
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
659
23.4 IPS |
