Samsung Galaxy S24
Geekbench AI Score
2207
Single Precision Score
2173
Half Precision Score
3121
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 05:19 PM |
| Views | 3 |
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% |
2237
416.1 IPS |
|
|
Image Classification (HP)
|
100% |
2234
415.4 IPS |
|
|
Image Classification (Q)
|
100% |
3242
603.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3620
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3768
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6356
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1364
108.6 IPS |
|
|
Object Detection (HP)
|
98% |
1333
106.1 IPS |
|
|
Object Detection (Q)
|
83% |
2048
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
4836
57.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3116
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3115
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4787
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7847
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7369
9.57 IPS |
|
|
Style Transfer (Q)
|
98% |
13061
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3457
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
603
805.3 IPS |
|
|
Text Classification (HP)
|
99% |
621
829.0 IPS |
|
|
Text Classification (Q)
|
88% |
1003
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
549
19.5 IPS |
