Samsung Galaxy S24+
Geekbench AI Score
2553
Single Precision Score
2506
Half Precision Score
3825
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 10:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (Q)
|
100% |
2873
534.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3536
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4338
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4341
5.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
9536
11.3 IPS |
|
|
Object Detection (SP)
|
98% |
2099
167.1 IPS |
|
|
Object Detection (HP)
|
98% |
1895
150.8 IPS |
|
|
Object Detection (Q)
|
83% |
3018
243.8 IPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (Q)
|
95% |
6705
80.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3814
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3696
28.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6622
60.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9669
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8580
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15853
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3849
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
652
870.4 IPS |
|
|
Text Classification (HP)
|
99% |
692
923.1 IPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
781
27.7 IPS |
