Samsung Galaxy S24
Geekbench AI Score
1602
Single Precision Score
1993
Half Precision Score
1814
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Samsung Exynos 2400 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 |
| Model ID | samsung SM-S921B |
| 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (HP)
|
100% |
987
183.5 IPS |
|
|
Image Classification (Q)
|
99% |
695
129.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4453
5.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
4379
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
86% |
802
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
97% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3433
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4014
31.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2899
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9429
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13336
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13140
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2234
82.8 IPS |
|
|
Text Classification (SP)
|
100% |
444
593.2 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (Q)
|
91% |
737
990.4 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
57% |
572
14.0 IPS |
