Samsung Galaxy S24
Geekbench AI Score
2193
Single Precision Score
2170
Half Precision Score
3049
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 04:11 PM |
| Views | 5 |
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% |
1869
347.5 IPS |
|
|
Image Classification (HP)
|
100% |
2245
417.5 IPS |
|
|
Image Classification (Q)
|
100% |
3333
619.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2289
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3562
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3917
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3734
4.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
6459
7.66 IPS |
|
|
Object Detection (SP)
|
98% |
1537
122.3 IPS |
|
|
Object Detection (HP)
|
98% |
1365
108.6 IPS |
|
|
Object Detection (Q)
|
83% |
1926
155.5 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (Q)
|
95% |
4438
53.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3144
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4527
41.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7489
9.72 IPS |
|
|
Style Transfer (HP)
|
89% |
7485
9.72 IPS |
|
|
Style Transfer (Q)
|
98% |
13426
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3197
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
593
791.1 IPS |
|
|
Text Classification (HP)
|
99% |
569
759.3 IPS |
|
|
Text Classification (Q)
|
88% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
591
21.0 IPS |
