Samsung Galaxy S24
Geekbench AI Score
2069
Single Precision Score
2008
Half Precision Score
2885
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 02:04 PM |
| Views | 1 |
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% |
1830
340.2 IPS |
|
|
Image Classification (HP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (Q)
|
100% |
3470
645.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3630
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4183
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2917
3.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
6040
7.16 IPS |
|
|
Object Detection (SP)
|
98% |
1277
101.7 IPS |
|
|
Object Detection (HP)
|
98% |
1340
106.6 IPS |
|
|
Object Detection (Q)
|
83% |
1781
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
4170
49.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2840
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2957
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4144
38.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7149
9.28 IPS |
|
|
Style Transfer (HP)
|
89% |
7031
9.13 IPS |
|
|
Style Transfer (Q)
|
98% |
12026
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1507
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2993
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
518
690.9 IPS |
|
|
Text Classification (HP)
|
99% |
514
686.3 IPS |
|
|
Text Classification (Q)
|
88% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
