Samsung Galaxy S24
Geekbench AI Score
2172
Single Precision Score
2126
Half Precision Score
3137
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 10:15 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-S921N |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
1833
341.0 IPS |
|
|
Image Classification (Q)
|
100% |
2958
550.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3615
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
6481
7.69 IPS |
|
|
Object Detection (SP)
|
98% |
1536
122.2 IPS |
|
|
Object Detection (HP)
|
98% |
1541
122.6 IPS |
|
|
Object Detection (Q)
|
83% |
2097
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4541
54.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3064
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3100
24.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4520
41.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7444
9.66 IPS |
|
|
Style Transfer (HP)
|
89% |
7404
9.61 IPS |
|
|
Style Transfer (Q)
|
98% |
19542
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3197
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
594
792.9 IPS |
|
|
Text Classification (HP)
|
99% |
593
791.0 IPS |
|
|
Text Classification (Q)
|
88% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
624
22.1 IPS |
