Samsung Galaxy S24+
Geekbench AI Score
290
Single Precision Score
307
Half Precision Score
906
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 13 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
298
55.5 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
99% |
759
141.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1939
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
87% |
793
63.6 IPS |
|
|
Face Detection (SP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (Q)
|
97% |
1496
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
565
4.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
1074
9.74 IPS |
|
|
Style Transfer (SP)
|
100% |
784
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
732
0.94 IPS |
|
|
Style Transfer (Q)
|
98% |
1674
2.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
801
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.5 IPS |
|
|
Text Classification (HP)
|
100% |
304
406.3 IPS |
|
|
Text Classification (Q)
|
91% |
474
637.7 IPS |
|
|
Machine Translation (SP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
57% |
401
9.79 IPS |
