Samsung Galaxy S24
Geekbench AI Score
2109
Single Precision Score
2087
Half Precision Score
3033
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 06:28 PM |
| Views | 1 |
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% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
1876
348.9 IPS |
|
|
Image Classification (Q)
|
100% |
3191
593.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3926
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3877
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6415
7.61 IPS |
|
|
Object Detection (SP)
|
98% |
1327
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
1360
108.2 IPS |
|
|
Object Detection (Q)
|
83% |
1955
158.0 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (Q)
|
95% |
4545
54.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2989
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3021
23.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4628
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7029
9.13 IPS |
|
|
Style Transfer (HP)
|
89% |
7410
9.62 IPS |
|
|
Style Transfer (Q)
|
98% |
13600
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3256
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.5 IPS |
|
|
Text Classification (HP)
|
99% |
539
719.9 IPS |
|
|
Text Classification (Q)
|
88% |
829
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
50% |
543
19.3 IPS |
