Samsung Galaxy S24
Geekbench AI Score
2025
Single Precision Score
2082
Half Precision Score
2957
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | skibiditymus27 |
| Upload Date | July 17 2025 10:40 PM |
| Views | 25 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (Q)
|
100% |
2692
500.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3606
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3099
3.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
6388
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1361
108.3 IPS |
|
|
Object Detection (HP)
|
98% |
1528
121.6 IPS |
|
|
Object Detection (Q)
|
83% |
2098
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
4424
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4508
41.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7470
9.70 IPS |
|
|
Style Transfer (HP)
|
89% |
7460
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
13472
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1559
57.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1571
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3201
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.6 IPS |
|
|
Text Classification (HP)
|
99% |
558
744.6 IPS |
|
|
Text Classification (Q)
|
88% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
