Samsung Galaxy S24
Geekbench AI Score
3591
Single Precision Score
25002
Half Precision Score
46746
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 16 2025 04:52 AM |
| Views | 1 |
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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
17174
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32442
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12585
204.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28286
460.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14035
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
87990
102.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
301370
352.9 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
14135
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23594
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
38856
461.7 IPS |
|
|
Face Detection (Q)
|
97% |
98820
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5626
43.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
56590
449.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
106425
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29298
37.7 IPS |
|
|
Style Transfer (HP)
|
99% |
172368
221.6 IPS |
|
|
Style Transfer (Q)
|
98% |
269931
348.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4259
157.3 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22598
851.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59355
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
678
905.2 IPS |
|
|
Text Classification (HP)
|
100% |
6898
9.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8307
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6010
103.5 IPS |
|
|
Machine Translation (Q)
|
56% |
5456
139.9 IPS |
