Samsung Galaxy S24+
Geekbench AI Score
1903
Single Precision Score
1924
Half Precision Score
2840
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:02 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-S926B |
| 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% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
1597
297.0 IPS |
|
|
Image Classification (Q)
|
100% |
2250
418.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3757
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3638
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
8605
10.2 IPS |
|
|
Object Detection (SP)
|
98% |
1252
99.7 IPS |
|
|
Object Detection (HP)
|
98% |
1251
99.6 IPS |
|
|
Object Detection (Q)
|
83% |
1779
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (Q)
|
95% |
4327
51.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2816
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2759
21.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4470
40.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7020
9.11 IPS |
|
|
Style Transfer (HP)
|
89% |
6968
9.04 IPS |
|
|
Style Transfer (Q)
|
98% |
13179
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1407
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3165
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.3 IPS |
|
|
Text Classification (HP)
|
99% |
561
748.7 IPS |
|
|
Text Classification (Q)
|
88% |
894
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
495
17.6 IPS |
