Samsung Galaxy S24
Geekbench AI Score
3611
Single Precision Score
25217
Half Precision Score
47036
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 12:31 PM |
| Views | 2 |
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-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 | 6.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1638
304.7 IPS |
|
|
Image Classification (HP)
|
100% |
17320
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
33017
6.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3101
50.3 IPS |
|
|
Image Segmentation (HP)
|
97% |
12680
206.3 IPS |
|
|
Image Segmentation (Q)
|
96% |
28700
467.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15354
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87632
102.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
303016
354.8 IPS |
|
|
Object Detection (SP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
14054
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24011
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5181
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
40045
475.8 IPS |
|
|
Face Detection (Q)
|
97% |
101710
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5716
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
56956
452.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
106230
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
30006
38.6 IPS |
|
|
Style Transfer (HP)
|
99% |
174430
224.2 IPS |
|
|
Style Transfer (Q)
|
98% |
263481
339.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22914
861.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59270
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
633
845.5 IPS |
|
|
Text Classification (HP)
|
100% |
6898
9.21 KIPS |
|
|
Text Classification (Q)
|
93% |
8202
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6114
105.3 IPS |
|
|
Machine Translation (Q)
|
56% |
5556
142.5 IPS |
