Samsung Galaxy S24
Geekbench AI Score
2215
Single Precision Score
2170
Half Precision Score
3038
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 01:49 PM |
| Views | 1 |
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% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
2153
400.4 IPS |
|
|
Image Classification (Q)
|
100% |
3317
616.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3583
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3588
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
6405
7.60 IPS |
|
|
Object Detection (SP)
|
98% |
1553
123.6 IPS |
|
|
Object Detection (HP)
|
98% |
1553
123.6 IPS |
|
|
Object Detection (Q)
|
83% |
1879
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (Q)
|
95% |
4467
53.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3124
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4538
41.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6912
8.97 IPS |
|
|
Style Transfer (HP)
|
89% |
7489
9.72 IPS |
|
|
Style Transfer (Q)
|
98% |
13512
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3162
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
537
717.3 IPS |
|
|
Text Classification (HP)
|
99% |
559
746.4 IPS |
|
|
Text Classification (Q)
|
88% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1459
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
611
21.7 IPS |
