Samsung Galaxy S24+
Geekbench AI Score
2380
Single Precision Score
2477
Half Precision Score
3650
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:42 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-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% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
2221
413.0 IPS |
|
|
Image Classification (Q)
|
100% |
3529
656.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3959
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3927
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3936
4.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
7625
9.04 IPS |
|
|
Object Detection (SP)
|
98% |
1665
132.5 IPS |
|
|
Object Detection (HP)
|
98% |
1771
140.9 IPS |
|
|
Object Detection (Q)
|
83% |
2477
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3724
44.2 IPS |
|
|
Face Detection (Q)
|
95% |
5725
68.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3753
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3507
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5333
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8883
11.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8899
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16006
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4014
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
684
913.0 IPS |
|
|
Text Classification (HP)
|
99% |
678
905.2 IPS |
|
|
Text Classification (Q)
|
88% |
1028
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
789
28.0 IPS |
