Samsung Galaxy S24
Geekbench AI Score
1695
Single Precision Score
1633
Half Precision Score
2913
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
100% |
2058
382.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2562
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3265
3.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
6512
7.72 IPS |
|
|
Object Detection (SP)
|
98% |
1410
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1415
112.6 IPS |
|
|
Object Detection (Q)
|
83% |
2044
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (Q)
|
95% |
4761
56.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2995
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4792
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7912
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7871
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14211
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3458
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.5 IPS |
|
|
Text Classification (HP)
|
99% |
631
841.9 IPS |
|
|
Text Classification (Q)
|
88% |
869
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
644
22.9 IPS |
