Samsung Galaxy S24+
Geekbench AI Score
2258
Single Precision Score
2319
Half Precision Score
3293
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 06:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1824
339.2 IPS |
|
|
Image Classification (HP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (Q)
|
100% |
3113
578.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3536
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3763
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3747
4.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
7231
8.58 IPS |
|
|
Object Detection (SP)
|
98% |
1700
135.3 IPS |
|
|
Object Detection (HP)
|
98% |
1699
135.2 IPS |
|
|
Object Detection (Q)
|
83% |
2236
180.6 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3296
39.2 IPS |
|
|
Face Detection (Q)
|
95% |
4984
59.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3351
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3638
28.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5705
52.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8908
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
7913
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13375
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3594
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
649
865.9 IPS |
|
|
Text Classification (HP)
|
99% |
647
863.8 IPS |
|
|
Text Classification (Q)
|
88% |
1020
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
606
21.5 IPS |
