Samsung Galaxy S24+
Geekbench AI Score
1851
Single Precision Score
1802
Half Precision Score
2664
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 07 2026 01:06 AM |
| Views | 3 |
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-S926N |
| 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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
1150
213.9 IPS |
|
|
Image Classification (Q)
|
100% |
2349
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3123
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
6025
7.15 IPS |
|
|
Object Detection (SP)
|
98% |
1314
104.6 IPS |
|
|
Object Detection (HP)
|
98% |
1284
102.2 IPS |
|
|
Object Detection (Q)
|
83% |
1823
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (Q)
|
95% |
3770
45.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2858
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2803
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4032
36.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6958
9.03 IPS |
|
|
Style Transfer (HP)
|
89% |
7000
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
12411
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2807
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
513
684.2 IPS |
|
|
Text Classification (HP)
|
99% |
513
684.8 IPS |
|
|
Text Classification (Q)
|
88% |
727
980.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
