Samsung Galaxy S24+
Geekbench AI Score
2779
Single Precision Score
2752
Half Precision Score
4356
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 05:06 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% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (Q)
|
100% |
3508
652.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2592
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4061
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4118
4.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
9516
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
1963
156.2 IPS |
|
|
Object Detection (HP)
|
98% |
2079
165.5 IPS |
|
|
Object Detection (Q)
|
83% |
3057
246.9 IPS |
|
|
Face Detection (SP)
|
100% |
4188
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (Q)
|
95% |
7312
87.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3679
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3681
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6752
61.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10241
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10264
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20497
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5307
196.7 IPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
88% |
1313
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
843
29.9 IPS |
