Samsung Galaxy S24+
Geekbench AI Score
3545
Single Precision Score
25072
Half Precision Score
46529
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | July 25 2025 05:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
17396
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
33317
6.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (HP)
|
97% |
12714
206.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
27876
453.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14227
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
86740
101.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
302948
354.8 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
100% |
13993
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21373
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
39632
470.9 IPS |
|
|
Face Detection (Q)
|
97% |
98918
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56377
447.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
105830
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29849
38.4 IPS |
|
|
Style Transfer (HP)
|
99% |
171040
220.5 IPS |
|
|
Style Transfer (Q)
|
98% |
268832
346.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22714
855.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59171
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
627
836.3 IPS |
|
|
Text Classification (HP)
|
100% |
6943
9.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8429
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6067
104.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5635
144.5 IPS |
