Samsung Galaxy S24+
Geekbench AI Score
2695
Single Precision Score
2716
Half Precision Score
4155
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 12:37 AM |
| 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% |
1904
354.1 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (Q)
|
100% |
2866
533.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3534
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4328
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
9610
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
2100
167.1 IPS |
|
|
Object Detection (HP)
|
98% |
1896
150.9 IPS |
|
|
Object Detection (Q)
|
83% |
2902
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
95% |
6781
81.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4302
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4076
31.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7103
65.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10241
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10099
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19785
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2155
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4857
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
889
1.19 KIPS |
|
|
Text Classification (Q)
|
88% |
1342
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (Q)
|
50% |
875
31.1 IPS |
