Samsung Galaxy S24
Geekbench AI Score
1683
Single Precision Score
1511
Half Precision Score
1473
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 07:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921N |
| 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% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (Q)
|
99% |
766
142.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
2412
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
906
71.8 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
749
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
2895
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3174
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2376
18.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1946
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9122
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7414
9.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7433
9.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1710
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.4 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.3 IPS |
|
|
Text Classification (Q)
|
91% |
721
968.7 IPS |
|
|
Machine Translation (SP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
562
13.7 IPS |
