Samsung Galaxy S24
Geekbench AI Score
2213
Single Precision Score
2210
Half Precision Score
3150
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 20 2025 07:51 PM |
| Views | 6 |
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% |
1935
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (Q)
|
100% |
2976
553.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3579
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4091
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3572
4.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6419
7.61 IPS |
|
|
Object Detection (SP)
|
98% |
1367
108.8 IPS |
|
|
Object Detection (HP)
|
98% |
1352
107.6 IPS |
|
|
Object Detection (Q)
|
83% |
1937
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
95% |
4561
54.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2957
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3133
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4531
41.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7552
9.80 IPS |
|
|
Style Transfer (HP)
|
89% |
7553
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
19940
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2059
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3183
118.0 IPS |
|
|
Text Classification (SP)
|
100% |
554
740.0 IPS |
|
|
Text Classification (HP)
|
99% |
555
740.4 IPS |
|
|
Text Classification (Q)
|
88% |
917
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.5 IPS |
