Samsung Galaxy S24 Ultra
Geekbench AI Score
2485
Single Precision Score
2504
Half Precision Score
3790
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 05:15 PM |
| Views | 6 |
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-S928U1 |
| 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% |
2346
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
1974
367.1 IPS |
|
|
Image Classification (Q)
|
100% |
3531
656.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2660
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4091
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4305
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4292
5.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
8398
9.96 IPS |
|
|
Object Detection (SP)
|
98% |
1778
141.5 IPS |
|
|
Object Detection (HP)
|
98% |
1793
142.7 IPS |
|
|
Object Detection (Q)
|
83% |
2575
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3374
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (Q)
|
95% |
5665
67.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3792
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3829
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5833
53.4 IPS |
|
|
Style Transfer (SP)
|
89% |
8754
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
8762
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16447
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1745
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4163
154.3 IPS |
|
|
Text Classification (SP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (HP)
|
99% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1167
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1537
26.5 IPS |
|
|
Machine Translation (Q)
|
50% |
743
26.4 IPS |
