Samsung Galaxy S24+
Geekbench AI Score
3538
Single Precision Score
25062
Half Precision Score
46469
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 10:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | ENN |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
17158
3.19 KIPS |
|
|
Image Classification (Q)
|
100% |
32863
6.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3085
50.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
12408
201.9 IPS |
|
|
Image Segmentation (Q)
|
96% |
27885
453.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14974
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
87263
101.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
300882
352.3 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
100% |
13994
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
21139
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
4975
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
40415
480.2 IPS |
|
|
Face Detection (Q)
|
97% |
101268
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5495
42.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
56465
448.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
107171
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
29100
37.4 IPS |
|
|
Style Transfer (HP)
|
99% |
170934
219.7 IPS |
|
|
Style Transfer (Q)
|
98% |
273379
352.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4021
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22820
860.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59045
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
654
872.8 IPS |
|
|
Text Classification (HP)
|
100% |
6878
9.18 KIPS |
|
|
Text Classification (Q)
|
93% |
8187
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5617
144.1 IPS |
