Samsung Galaxy S24+
Geekbench AI Score
2072
Single Precision Score
1777
Half Precision Score
2549
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1048
194.9 IPS |
|
|
Image Classification (HP)
|
100% |
1145
212.9 IPS |
|
|
Image Classification (Q)
|
100% |
2361
439.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1614
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2063
2.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
8302
9.85 IPS |
|
|
Object Detection (SP)
|
98% |
1578
125.6 IPS |
|
|
Object Detection (HP)
|
98% |
1574
125.2 IPS |
|
|
Object Detection (Q)
|
83% |
1207
97.5 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3471
41.2 IPS |
|
|
Face Detection (Q)
|
95% |
5661
67.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3459
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3530
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4842
44.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7975
10.4 IPS |
|
|
Style Transfer (HP)
|
89% |
7005
9.09 IPS |
|
|
Style Transfer (Q)
|
98% |
16691
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1887
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.6 IPS |
|
|
Text Classification (HP)
|
99% |
465
620.1 IPS |
|
|
Text Classification (Q)
|
88% |
636
857.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
554
19.7 IPS |
