Samsung Galaxy S24
Geekbench AI Score
3603
Single Precision Score
25011
Half Precision Score
46910
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 08:32 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% |
1647
306.3 IPS |
|
|
Image Classification (HP)
|
100% |
17195
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
32740
6.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3075
49.9 IPS |
|
|
Image Segmentation (HP)
|
97% |
12432
202.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28508
463.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14148
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
87447
102.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
300415
351.8 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
14072
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23773
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5091
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
39188
465.6 IPS |
|
|
Face Detection (Q)
|
97% |
99046
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
79% |
56407
447.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
106134
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29211
37.6 IPS |
|
|
Style Transfer (HP)
|
99% |
173110
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
271692
350.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4195
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22712
857.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59116
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
721
962.0 IPS |
|
|
Text Classification (HP)
|
100% |
6896
9.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8260
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6077
104.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5551
142.4 IPS |
