Samsung Galaxy S24
Geekbench AI Score
1696
Single Precision Score
2947
Half Precision Score
2113
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | coladrlicious |
| Upload Date | October 08 2025 04:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1255
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (Q)
|
100% |
1818
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3263
52.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3228
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7379
8.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
14097
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13871
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
99% |
1136
90.1 IPS |
|
|
Object Detection (Q)
|
84% |
1058
85.3 IPS |
|
|
Face Detection (SP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7278
86.5 IPS |
|
|
Face Detection (Q)
|
97% |
5989
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4209
32.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7364
56.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
5517
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15973
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27714
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26948
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3826
141.8 IPS |
|
|
Text Classification (SP)
|
29% |
28
485.9 IPS |
|
|
Text Classification (HP)
|
35% |
76
693.5 IPS |
|
|
Text Classification (Q)
|
29% |
30
523.9 IPS |
|
|
Machine Translation (SP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
42% |
202
13.1 IPS |
