Samsung Galaxy S24
Geekbench AI Score
2728
Single Precision Score
2732
Half Precision Score
4183
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 12:47 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
100% |
3248
604.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2565
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3952
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4079
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4178
4.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
8949
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1979
157.5 IPS |
|
|
Object Detection (HP)
|
98% |
2024
161.0 IPS |
|
|
Object Detection (Q)
|
83% |
3082
248.9 IPS |
|
|
Face Detection (SP)
|
100% |
4102
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (Q)
|
95% |
7225
86.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4149
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4077
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6821
62.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9895
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9907
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19154
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4813
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
1250
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
817
29.0 IPS |
