Samsung Galaxy S24
Geekbench AI Score
3618
Single Precision Score
25254
Half Precision Score
47260
Quantized Score
Geekbench AI 1.2.0 Corporate for Android AArch64
Result Information
| Upload Date | December 13 2024 06:46 AM |
| 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% |
1622
301.6 IPS |
|
|
Image Classification (HP)
|
100% |
17338
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
33117
6.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3110
50.4 IPS |
|
|
Image Segmentation (HP)
|
97% |
12713
206.8 IPS |
|
|
Image Segmentation (Q)
|
96% |
28689
466.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15426
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87902
102.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
303268
355.1 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
100% |
14011
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
24200
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5165
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
40260
478.4 IPS |
|
|
Face Detection (Q)
|
97% |
101170
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5707
44.0 IPS |
|
|
Depth Estimation (HP)
|
79% |
57001
452.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
106063
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
30037
38.6 IPS |
|
|
Style Transfer (HP)
|
99% |
174975
224.9 IPS |
|
|
Style Transfer (Q)
|
98% |
271357
349.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4226
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
83% |
22733
855.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59276
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
648
864.7 IPS |
|
|
Text Classification (HP)
|
100% |
6982
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
8144
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6100
105.1 IPS |
|
|
Machine Translation (Q)
|
56% |
5672
145.5 IPS |
