Samsung Galaxy S24
Geekbench AI Score
441
Single Precision Score
440
Half Precision Score
1000
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 03:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| 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% |
290
53.9 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
99% |
690
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
748
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1796
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
87% |
707
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.71 IPS |
|
|
Face Detection (Q)
|
97% |
1517
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
563
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
1325
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
920
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
916
1.18 IPS |
|
|
Style Transfer (Q)
|
98% |
2240
2.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
284
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1035
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
389
518.9 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.2 IPS |
|
|
Text Classification (Q)
|
91% |
670
900.4 IPS |
|
|
Machine Translation (SP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
493
12.0 IPS |
