Samsung Galaxy S24
Geekbench AI Score
3694
Single Precision Score
25312
Half Precision Score
47196
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 04:23 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% |
1673
311.2 IPS |
|
|
Image Classification (HP)
|
100% |
17146
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33604
6.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12733
207.1 IPS |
|
|
Image Segmentation (Q)
|
96% |
28724
467.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15429
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87637
102.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
304162
356.2 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
100% |
14205
1.13 KIPS |
|
|
Object Detection (Q)
|
90% |
21622
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
40620
482.7 IPS |
|
|
Face Detection (Q)
|
97% |
101317
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
79% |
57241
454.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
107700
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
30248
38.9 IPS |
|
|
Style Transfer (HP)
|
99% |
171692
220.7 IPS |
|
|
Style Transfer (Q)
|
98% |
271797
350.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22722
857.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59674
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
680
907.1 IPS |
|
|
Text Classification (HP)
|
100% |
7136
9.53 KIPS |
|
|
Text Classification (Q)
|
93% |
8790
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5553
142.4 IPS |
