Samsung Galaxy S24
Geekbench AI Score
1900
Single Precision Score
1928
Half Precision Score
2788
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 03:59 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% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
1829
340.1 IPS |
|
|
Image Classification (Q)
|
100% |
2728
507.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2267
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2963
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
6101
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
1290
102.7 IPS |
|
|
Object Detection (HP)
|
98% |
1474
117.3 IPS |
|
|
Object Detection (Q)
|
83% |
2958
238.9 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
4120
49.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2940
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2909
22.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4261
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8046
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
6779
8.80 IPS |
|
|
Style Transfer (Q)
|
98% |
11925
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2860
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.9 IPS |
|
|
Text Classification (HP)
|
99% |
498
664.3 IPS |
|
|
Text Classification (Q)
|
88% |
755
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
50% |
564
20.0 IPS |
