Samsung Galaxy S24 Ultra
Geekbench AI Score
2456
Single Precision Score
2425
Half Precision Score
3793
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | November 21 2025 08:40 AM |
| Views | 5 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (Q)
|
100% |
3489
648.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3746
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3885
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3626
4.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
8339
9.89 IPS |
|
|
Object Detection (SP)
|
98% |
1775
141.3 IPS |
|
|
Object Detection (HP)
|
98% |
1784
142.0 IPS |
|
|
Object Detection (Q)
|
83% |
2528
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (Q)
|
95% |
5706
68.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3599
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3530
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5844
53.5 IPS |
|
|
Style Transfer (SP)
|
89% |
8731
11.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8689
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16883
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4250
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1179
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (Q)
|
50% |
795
28.2 IPS |
