Samsung Galaxy S24
Geekbench AI Score
3560
Single Precision Score
25143
Half Precision Score
47174
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 08:05 PM |
| Views | 1 |
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-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% |
1596
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
17254
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
33145
6.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3066
49.7 IPS |
|
|
Image Segmentation (HP)
|
97% |
12631
205.5 IPS |
|
|
Image Segmentation (Q)
|
96% |
28622
465.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14299
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
87714
102.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
301202
352.7 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
14051
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23860
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5260
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
39463
468.9 IPS |
|
|
Face Detection (Q)
|
97% |
99341
1.18 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
56713
450.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
106538
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29601
38.1 IPS |
|
|
Style Transfer (HP)
|
99% |
172133
221.9 IPS |
|
|
Style Transfer (Q)
|
98% |
273633
352.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4223
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22798
857.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59758
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
631
842.3 IPS |
|
|
Text Classification (HP)
|
100% |
7069
9.44 KIPS |
|
|
Text Classification (Q)
|
93% |
8414
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (Q)
|
56% |
5498
141.0 IPS |
