Samsung Galaxy S24
Geekbench AI Score
2071
Single Precision Score
2078
Half Precision Score
2860
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1754
326.3 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.1 IPS |
|
|
Image Classification (Q)
|
100% |
2742
509.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2871
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3119
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3134
3.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
6443
7.64 IPS |
|
|
Object Detection (SP)
|
98% |
1581
125.9 IPS |
|
|
Object Detection (HP)
|
98% |
1555
123.7 IPS |
|
|
Object Detection (Q)
|
83% |
1816
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (Q)
|
95% |
4350
51.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2901
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4550
41.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7588
9.85 IPS |
|
|
Style Transfer (HP)
|
89% |
7553
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
13444
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3219
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.6 IPS |
|
|
Text Classification (HP)
|
99% |
571
761.8 IPS |
|
|
Text Classification (Q)
|
88% |
786
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1373
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
592
21.0 IPS |
