Samsung Galaxy S24+
Geekbench AI Score
331
Single Precision Score
352
Half Precision Score
1131
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 04:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
313
58.1 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
99% |
794
148.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
2052
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
87% |
842
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
97% |
1715
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
632
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
634
4.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
1510
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
994
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
983
1.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2429
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1139
42.2 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.1 IPS |
|
|
Text Classification (HP)
|
100% |
449
599.9 IPS |
|
|
Text Classification (Q)
|
91% |
742
997.6 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
573
14.0 IPS |
