Samsung Galaxy S24+
Geekbench AI Score
1250
Single Precision Score
1164
Half Precision Score
1141
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:56 AM |
| Views | 3 |
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% |
515
95.8 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1845
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
86% |
492
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (Q)
|
97% |
2311
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2447
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1474
13.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6991
8.99 IPS |
|
|
Style Transfer (HP)
|
100% |
5723
7.36 IPS |
|
|
Style Transfer (Q)
|
98% |
5502
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
940
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
346
462.0 IPS |
|
|
Text Classification (HP)
|
100% |
346
462.3 IPS |
|
|
Text Classification (Q)
|
91% |
542
728.6 IPS |
|
|
Machine Translation (SP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.56 IPS |
|
|
Machine Translation (Q)
|
57% |
454
11.1 IPS |
