Samsung Galaxy S24+
Geekbench AI Score
2597
Single Precision Score
2649
Half Precision Score
4263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:43 PM |
| 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% |
1868
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
1879
349.4 IPS |
|
|
Image Classification (Q)
|
100% |
2983
554.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3930
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4022
4.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
8940
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1948
155.0 IPS |
|
|
Object Detection (HP)
|
98% |
2033
161.8 IPS |
|
|
Object Detection (Q)
|
83% |
3180
256.9 IPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (Q)
|
95% |
7370
88.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3607
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3597
27.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6483
59.4 IPS |
|
|
Style Transfer (SP)
|
89% |
9906
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10034
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18869
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5009
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
872
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1524
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (Q)
|
50% |
866
30.8 IPS |
