Samsung Galaxy S24
Geekbench AI Score
3600
Single Precision Score
25151
Half Precision Score
46900
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 07:28 AM |
| Views | 3 |
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% |
1615
300.3 IPS |
|
|
Image Classification (HP)
|
100% |
17312
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
33244
6.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (HP)
|
97% |
12690
206.4 IPS |
|
|
Image Segmentation (Q)
|
96% |
28637
466.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15313
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
87391
102.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
303137
355.0 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
14080
1.12 KIPS |
|
|
Object Detection (Q)
|
90% |
24017
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5214
62.0 IPS |
|
|
Face Detection (HP)
|
100% |
39804
473.0 IPS |
|
|
Face Detection (Q)
|
97% |
101257
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56853
451.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
106132
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29848
38.4 IPS |
|
|
Style Transfer (HP)
|
99% |
171769
220.8 IPS |
|
|
Style Transfer (Q)
|
98% |
264603
341.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4220
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
84% |
22841
858.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
58825
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
639
853.3 IPS |
|
|
Text Classification (HP)
|
100% |
6887
9.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8100
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (Q)
|
56% |
5484
140.7 IPS |
