Samsung Galaxy S24+
Geekbench AI Score
3537
Single Precision Score
24933
Half Precision Score
47015
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 10 2024 01:32 PM |
| Views | 2 |
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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
16965
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
33312
6.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3120
50.6 IPS |
|
|
Image Segmentation (HP)
|
97% |
12279
199.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28300
460.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14775
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87020
101.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
300475
351.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
13912
1.10 KIPS |
|
|
Object Detection (Q)
|
90% |
24085
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4882
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
40097
476.4 IPS |
|
|
Face Detection (Q)
|
97% |
101422
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5614
43.3 IPS |
|
|
Depth Estimation (HP)
|
79% |
57133
453.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
105881
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29475
37.9 IPS |
|
|
Style Transfer (HP)
|
99% |
171007
219.8 IPS |
|
|
Style Transfer (Q)
|
98% |
263114
339.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22641
854.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59319
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
634
846.7 IPS |
|
|
Text Classification (HP)
|
100% |
6888
9.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8185
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (Q)
|
56% |
5638
144.6 IPS |
