Samsung Galaxy S24 Ultra
Geekbench AI Score
2489
Single Precision Score
2432
Half Precision Score
3750
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 11 2025 06:25 PM |
| Views | 3 |
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 Ultra |
| Model ID | samsung SM-S928B |
| 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.7 IPS |
|
|
Image Classification (Q)
|
100% |
3843
714.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4392
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4215
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
8427
9.99 IPS |
|
|
Object Detection (SP)
|
98% |
1797
143.0 IPS |
|
|
Object Detection (HP)
|
98% |
1809
144.0 IPS |
|
|
Object Detection (Q)
|
83% |
2564
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3472
41.3 IPS |
|
|
Face Detection (Q)
|
95% |
5695
68.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3523
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3620
28.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5671
51.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8726
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8755
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16793
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1789
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4019
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
736
982.5 IPS |
|
|
Text Classification (HP)
|
99% |
696
929.4 IPS |
|
|
Text Classification (Q)
|
88% |
1016
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (Q)
|
50% |
681
24.2 IPS |
