Samsung Galaxy S24+
Geekbench AI Score
310
Single Precision Score
329
Half Precision Score
1041
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 10:37 PM |
| Views | 2 |
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-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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.8 IPS |
|
|
Image Classification (Q)
|
99% |
711
132.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
767
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1870
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
87% |
776
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (HP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (Q)
|
97% |
1567
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
617
4.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
618
4.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1429
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
972
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2293
2.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1100
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
418
557.8 IPS |
|
|
Text Classification (HP)
|
100% |
418
558.2 IPS |
|
|
Text Classification (Q)
|
91% |
654
879.6 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
540
13.2 IPS |
