Samsung Galaxy S24
Geekbench AI Score
2248
Single Precision Score
2256
Half Precision Score
3237
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:55 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% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (Q)
|
100% |
3508
652.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3928
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4107
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
8760
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1653
131.5 IPS |
|
|
Object Detection (HP)
|
98% |
1437
114.3 IPS |
|
|
Object Detection (Q)
|
83% |
2033
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (Q)
|
95% |
5572
66.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3610
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3565
27.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5191
47.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7984
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7573
9.83 IPS |
|
|
Style Transfer (Q)
|
98% |
13187
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3051
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
515
687.4 IPS |
|
|
Text Classification (HP)
|
99% |
561
748.8 IPS |
|
|
Text Classification (Q)
|
88% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
50% |
585
20.8 IPS |
