Samsung Galaxy S24+
Geekbench AI Score
1112
Single Precision Score
1643
Half Precision Score
1645
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 01:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24+ |
| Model ID | samsung SM-S926U |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
96% |
634
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1032
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2747
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
2715
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
|
Object Detection (HP)
|
100% |
1109
87.9 IPS |
|
|
Object Detection (Q)
|
87% |
1076
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2211
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
2500
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1899
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4008
31.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3320
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7399
9.51 IPS |
|
|
Style Transfer (HP)
|
100% |
11945
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11729
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1637
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
472
630.4 IPS |
|
|
Text Classification (HP)
|
100% |
476
635.6 IPS |
|
|
Text Classification (Q)
|
91% |
770
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
622
15.2 IPS |
