Samsung Galaxy S24+
Geekbench AI Score
3513
Single Precision Score
25120
Half Precision Score
47115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:00 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-S926B |
| 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 | 6.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.2 IPS |
|
|
Image Classification (HP)
|
100% |
17144
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
33029
6.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
12603
205.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
28630
465.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14429
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
87009
101.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
302547
354.3 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
14151
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23803
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5029
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
39399
468.2 IPS |
|
|
Face Detection (Q)
|
97% |
102052
1.22 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5497
42.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
56846
451.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
106990
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
29010
37.3 IPS |
|
|
Style Transfer (HP)
|
99% |
172084
221.9 IPS |
|
|
Style Transfer (Q)
|
98% |
270722
349.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22842
860.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59255
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
628
838.0 IPS |
|
|
Text Classification (HP)
|
100% |
6852
9.15 KIPS |
|
|
Text Classification (Q)
|
93% |
8060
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6235
107.4 IPS |
|
|
Machine Translation (Q)
|
56% |
5607
143.8 IPS |
