Samsung Galaxy S24 Ultra
Geekbench AI Score
2545
Single Precision Score
2511
Half Precision Score
3638
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ICEMester |
| Upload Date | October 30 2025 09:56 AM |
| Views | 7 |
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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
100% |
2042
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4267
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4325
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4136
4.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
9316
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
1765
140.5 IPS |
|
|
Object Detection (HP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (Q)
|
83% |
2328
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5675
67.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3905
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3825
29.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6401
58.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9446
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9349
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16558
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4222
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
738
26.2 IPS |
