Samsung Galaxy S24+
Geekbench AI Score
3512
Single Precision Score
12669
Half Precision Score
23127
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 03 2024 05:16 AM |
| Views | 16 |
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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1643
305.5 IPS |
|
|
Image Classification (HP)
|
100% |
10004
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
26851
4.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (HP)
|
78% |
7346
123.1 IPS |
|
|
Image Segmentation (Q)
|
95% |
27851
453.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13191
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
82809
96.6 IPS |
|
|
Pose Estimation (Q)
|
78% |
285517
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
8508
674.8 IPS |
|
|
Object Detection (Q)
|
90% |
12586
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
5120
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
20628
245.1 IPS |
|
|
Face Detection (Q)
|
96% |
55858
666.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5219
40.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
46767
371.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
79359
734.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29304
37.7 IPS |
|
|
Style Transfer (HP)
|
99% |
147628
189.8 IPS |
|
|
Style Transfer (Q)
|
98% |
249565
321.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
16005
603.8 IPS |
|
|
Image Super-Resolution (Q)
|
83% |
29400
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
696
929.5 IPS |
|
|
Text Classification (HP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
692
929.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1195
20.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
59% |
724
16.7 IPS |
