Samsung Galaxy S24
Geekbench AI Score
3709
Single Precision Score
456
Half Precision Score
1049
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 10:08 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% |
1732
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
99% |
723
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15491
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
482
0.56 IPS |
|
|
Pose Estimation (Q)
|
98% |
1805
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (Q)
|
87% |
780
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
5264
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (Q)
|
97% |
1717
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5841
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
576
4.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
1347
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30182
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
2275
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1108
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
690
920.9 IPS |
|
|
Text Classification (HP)
|
100% |
447
597.1 IPS |
|
|
Text Classification (Q)
|
91% |
723
971.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
517
12.6 IPS |
