Samsung Galaxy S24+
Geekbench AI Score
1653
Single Precision Score
1507
Half Precision Score
1462
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ShowXTech |
| Upload Date | June 18 2025 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
844
156.9 IPS |
|
|
Image Classification (Q)
|
99% |
709
132.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1669
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
2436
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
753
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (Q)
|
97% |
2801
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3106
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2377
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1920
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8993
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7367
9.47 IPS |
|
|
Style Transfer (Q)
|
98% |
7145
9.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1265
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.6 IPS |
|
|
Text Classification (HP)
|
100% |
454
606.2 IPS |
|
|
Text Classification (Q)
|
91% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
575
14.1 IPS |
