Samsung Galaxy S24
Geekbench AI Score
3562
Single Precision Score
25111
Half Precision Score
46854
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 28 2025 01:52 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 | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
17223
3.20 KIPS |
|
|
Image Classification (Q)
|
100% |
32877
6.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (HP)
|
97% |
12457
202.7 IPS |
|
|
Image Segmentation (Q)
|
96% |
28382
461.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14127
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88074
102.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
302849
354.6 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
14028
1.11 KIPS |
|
|
Object Detection (Q)
|
90% |
23300
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5133
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
39809
473.0 IPS |
|
|
Face Detection (Q)
|
97% |
101158
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
5601
43.2 IPS |
|
|
Depth Estimation (HP)
|
79% |
56383
447.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
106143
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
29282
37.6 IPS |
|
|
Style Transfer (HP)
|
99% |
174507
224.3 IPS |
|
|
Style Transfer (Q)
|
98% |
261954
337.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4170
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
82% |
22638
853.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
59734
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
669
893.4 IPS |
|
|
Text Classification (HP)
|
100% |
7094
9.47 KIPS |
|
|
Text Classification (Q)
|
93% |
8424
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (Q)
|
56% |
5472
140.4 IPS |
