Samsung Galaxy S24
Geekbench AI Score
2032
Single Precision Score
2014
Half Precision Score
2770
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 04:05 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% |
1854
344.8 IPS |
|
|
Image Classification (HP)
|
100% |
2159
401.6 IPS |
|
|
Image Classification (Q)
|
100% |
2913
541.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3543
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3922
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2948
3.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
6092
7.22 IPS |
|
|
Object Detection (SP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (HP)
|
98% |
1374
109.3 IPS |
|
|
Object Detection (Q)
|
83% |
1863
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
3884
46.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2805
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2732
21.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4000
36.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6714
8.72 IPS |
|
|
Style Transfer (HP)
|
89% |
6794
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
11938
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2847
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
510
680.4 IPS |
|
|
Text Classification (HP)
|
99% |
528
704.1 IPS |
|
|
Text Classification (Q)
|
88% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
521
18.5 IPS |
