Samsung Galaxy S24
Geekbench AI Score
436
Single Precision Score
437
Half Precision Score
993
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 10:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
282
52.5 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.7 IPS |
|
|
Image Classification (Q)
|
99% |
686
127.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
467
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1781
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
87% |
714
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (HP)
|
100% |
647
7.69 IPS |
|
|
Face Detection (Q)
|
97% |
1556
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
559
4.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1344
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
916
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2221
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
282
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1002
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
385
513.9 IPS |
|
|
Text Classification (HP)
|
100% |
392
522.6 IPS |
|
|
Text Classification (Q)
|
91% |
656
882.2 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
492
12.0 IPS |
