Samsung Galaxy S24
Geekbench AI Score
224
Single Precision Score
235
Half Precision Score
634
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 01:31 PM |
| Views | 4 |
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-S921B |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
400
74.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.01 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
1208
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
518
41.5 IPS |
|
|
Face Detection (SP)
|
100% |
414
4.91 IPS |
|
|
Face Detection (HP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (Q)
|
97% |
914
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
368
2.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
840
7.63 IPS |
|
|
Style Transfer (SP)
|
100% |
610
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1660
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1412
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
615
22.8 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.2 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.1 IPS |
|
|
Text Classification (Q)
|
91% |
361
485.7 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.47 IPS |
