Samsung Galaxy S24
Geekbench AI Score
3581
Single Precision Score
24944
Half Precision Score
46708
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 03:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1661
308.8 IPS |
|
|
Image Classification (HP)
|
100% |
16990
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
32481
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (HP)
|
97% |
12465
202.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28302
460.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14236
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87034
101.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
301123
352.6 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
100% |
14117
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23431
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5127
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
39236
466.2 IPS |
|
|
Face Detection (Q)
|
97% |
98859
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5697
43.9 IPS |
|
|
Depth Estimation (HP)
|
79% |
56736
450.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
107339
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
29640
38.1 IPS |
|
|
Style Transfer (HP)
|
99% |
171116
220.0 IPS |
|
|
Style Transfer (Q)
|
98% |
267964
345.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22762
857.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59101
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
617
823.1 IPS |
|
|
Text Classification (HP)
|
100% |
6783
9.05 KIPS |
|
|
Text Classification (Q)
|
93% |
8224
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6094
105.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5514
141.4 IPS |
