Samsung Galaxy S24+
Geekbench AI Score
1588
Single Precision Score
1911
Half Precision Score
1775
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 03:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
99% |
654
121.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1606
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3545
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4501
5.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
4452
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
896
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (Q)
|
86% |
953
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
2343
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3102
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4020
31.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2843
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9185
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13294
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13088
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1984
73.5 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.2 IPS |
|
|
Text Classification (HP)
|
100% |
443
591.3 IPS |
|
|
Text Classification (Q)
|
91% |
727
977.3 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
557
13.6 IPS |
