Samsung Galaxy S24 Ultra
Geekbench AI Score
2339
Single Precision Score
2340
Half Precision Score
3485
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 07:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
100% |
3244
603.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3748
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3501
4.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
7897
9.37 IPS |
|
|
Object Detection (SP)
|
98% |
1758
139.9 IPS |
|
|
Object Detection (HP)
|
98% |
1733
137.9 IPS |
|
|
Object Detection (Q)
|
83% |
2425
195.9 IPS |
|
|
Face Detection (SP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3438
40.8 IPS |
|
|
Face Detection (Q)
|
95% |
5335
63.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3380
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3386
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5328
48.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8509
11.0 IPS |
|
|
Style Transfer (HP)
|
89% |
8494
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15091
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1589
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4008
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.8 IPS |
|
|
Text Classification (HP)
|
99% |
732
977.6 IPS |
|
|
Text Classification (Q)
|
88% |
1027
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
644
22.9 IPS |
