Samsung Galaxy S24
Geekbench AI Score
2107
Single Precision Score
2075
Half Precision Score
2902
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
2208
410.7 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (Q)
|
100% |
3161
587.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3521
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3232
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
6380
7.57 IPS |
|
|
Object Detection (SP)
|
98% |
1526
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1407
112.0 IPS |
|
|
Object Detection (Q)
|
83% |
1896
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3194
37.9 IPS |
|
|
Face Detection (Q)
|
95% |
4229
50.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3024
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2958
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4232
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7083
9.20 IPS |
|
|
Style Transfer (HP)
|
89% |
7091
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
12508
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2990
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
523
698.0 IPS |
|
|
Text Classification (HP)
|
99% |
527
703.7 IPS |
|
|
Text Classification (Q)
|
88% |
797
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
