Samsung Galaxy S24
Geekbench AI Score
3115
Single Precision Score
24923
Half Precision Score
46782
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 29 2026 06:42 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% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
16807
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
33278
6.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2718
44.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
12518
203.6 IPS |
|
|
Image Segmentation (Q)
|
96% |
28544
464.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12851
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87598
102.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
300908
352.4 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
13969
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23428
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
38742
460.3 IPS |
|
|
Face Detection (Q)
|
97% |
96766
1.15 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5204
40.1 IPS |
|
|
Depth Estimation (HP)
|
79% |
56631
449.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
105963
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
25105
32.3 IPS |
|
|
Style Transfer (HP)
|
99% |
173568
223.1 IPS |
|
|
Style Transfer (Q)
|
98% |
271541
350.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22704
856.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58936
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
575
768.1 IPS |
|
|
Text Classification (HP)
|
100% |
6840
9.13 KIPS |
|
|
Text Classification (Q)
|
93% |
8359
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6076
104.7 IPS |
|
|
Machine Translation (Q)
|
56% |
5467
140.2 IPS |
