Samsung Galaxy S24
Geekbench AI Score
3125
Single Precision Score
24295
Half Precision Score
45434
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 05:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921N |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
16790
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
32334
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2693
43.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12333
200.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
28255
459.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13048
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87878
102.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
299780
351.0 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
14007
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
22816
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
4674
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
38027
451.8 IPS |
|
|
Face Detection (Q)
|
97% |
96120
1.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5192
40.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
55417
440.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
103414
992.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25247
32.5 IPS |
|
|
Style Transfer (HP)
|
99% |
173334
222.8 IPS |
|
|
Style Transfer (Q)
|
98% |
264021
340.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22422
845.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58190
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
569
760.0 IPS |
|
|
Text Classification (HP)
|
100% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7578
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5580
96.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5184
133.0 IPS |
