Samsung Galaxy S24+
Geekbench AI Score
3050
Single Precision Score
24519
Half Precision Score
45130
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:12 AM |
| Views | 1 |
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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
16852
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
32491
6.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (HP)
|
97% |
12070
196.4 IPS |
|
|
Image Segmentation (Q)
|
96% |
27704
450.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12719
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86704
101.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
302623
354.4 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.3 IPS |
|
|
Object Detection (HP)
|
100% |
13983
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
20701
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
39633
470.9 IPS |
|
|
Face Detection (Q)
|
97% |
99748
1.19 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5094
39.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56079
445.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
105531
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
24897
32.0 IPS |
|
|
Style Transfer (HP)
|
99% |
171298
220.2 IPS |
|
|
Style Transfer (Q)
|
98% |
271471
350.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22421
846.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59063
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
531
708.1 IPS |
|
|
Text Classification (HP)
|
100% |
6827
9.11 KIPS |
|
|
Text Classification (Q)
|
93% |
7625
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5466
94.1 IPS |
|
|
Machine Translation (Q)
|
56% |
4830
123.9 IPS |
