Samsung Galaxy S24+
Geekbench AI Score
3492
Single Precision Score
25149
Half Precision Score
46939
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 01:23 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-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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
17068
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
32579
6.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (HP)
|
97% |
12617
205.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28589
465.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13822
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88227
102.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
302383
354.1 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
14067
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
23810
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5041
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
39153
465.2 IPS |
|
|
Face Detection (Q)
|
97% |
101734
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5537
42.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
56725
450.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
107276
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
28989
37.3 IPS |
|
|
Style Transfer (HP)
|
99% |
171864
220.9 IPS |
|
|
Style Transfer (Q)
|
98% |
262783
338.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22874
861.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59190
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
611
816.0 IPS |
|
|
Text Classification (HP)
|
100% |
6998
9.34 KIPS |
|
|
Text Classification (Q)
|
93% |
8216
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6198
106.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5552
142.4 IPS |
