Samsung Galaxy S24
Geekbench AI Score
466
Single Precision Score
459
Half Precision Score
1055
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
298
55.4 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
99% |
737
137.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
746
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
480
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1821
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
287
22.7 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.0 IPS |
|
|
Object Detection (Q)
|
87% |
774
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
683
8.11 IPS |
|
|
Face Detection (HP)
|
100% |
667
7.92 IPS |
|
|
Face Detection (Q)
|
97% |
1720
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
584
4.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
573
4.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1356
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
943
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
932
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
2267
2.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1131
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.8 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.4 IPS |
|
|
Text Classification (Q)
|
91% |
721
968.7 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
516
12.6 IPS |
