Samsung Galaxy S24
Geekbench AI Score
1586
Single Precision Score
1909
Half Precision Score
1834
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 10:19 PM |
| Views | 1 |
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-S921N |
| 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% |
629
116.9 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.7 IPS |
|
|
Image Classification (Q)
|
99% |
662
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3543
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3724
4.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
3932
4.61 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
86% |
1083
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
2812
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
3012
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3059
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4034
31.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2918
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9268
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13253
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12990
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2001
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.0 IPS |
|
|
Text Classification (HP)
|
100% |
426
568.5 IPS |
|
|
Text Classification (Q)
|
91% |
717
963.1 IPS |
|
|
Machine Translation (SP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
544
13.3 IPS |
