Samsung Galaxy S24+
Geekbench AI Score
3527
Single Precision Score
25001
Half Precision Score
47139
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 12:01 PM |
| 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% |
1604
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
17066
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
33106
6.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3082
50.0 IPS |
|
|
Image Segmentation (HP)
|
97% |
12296
200.0 IPS |
|
|
Image Segmentation (Q)
|
96% |
28683
466.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14803
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
87857
102.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
300674
352.1 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
100% |
14051
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23889
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4950
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
40204
477.7 IPS |
|
|
Face Detection (Q)
|
97% |
101628
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
79% |
56571
449.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
105619
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
28827
37.1 IPS |
|
|
Style Transfer (HP)
|
99% |
173512
223.1 IPS |
|
|
Style Transfer (Q)
|
98% |
276017
356.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22686
855.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59563
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
635
847.2 IPS |
|
|
Text Classification (HP)
|
100% |
6867
9.17 KIPS |
|
|
Text Classification (Q)
|
93% |
8046
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5992
103.2 IPS |
|
|
Machine Translation (Q)
|
56% |
5595
143.5 IPS |
