Samsung Galaxy S24+
Geekbench AI Score
2134
Single Precision Score
2138
Half Precision Score
3117
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:56 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-S926N |
| 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1778
330.7 IPS |
|
|
Image Classification (HP)
|
100% |
2102
390.9 IPS |
|
|
Image Classification (Q)
|
100% |
3097
575.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3906
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3616
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
3691
4.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6450
7.65 IPS |
|
|
Object Detection (SP)
|
98% |
1355
107.9 IPS |
|
|
Object Detection (HP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (Q)
|
83% |
2098
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (Q)
|
95% |
4401
52.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3199
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4789
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8100
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8216
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14919
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3227
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
556
742.4 IPS |
|
|
Text Classification (HP)
|
99% |
567
757.3 IPS |
|
|
Text Classification (Q)
|
88% |
817
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
639
22.7 IPS |
