Samsung Galaxy S24 Ultra
Geekbench AI Score
2334
Single Precision Score
2494
Half Precision Score
3849
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | babyjoe |
| Upload Date | March 27 2025 10:19 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
2441
453.9 IPS |
|
|
Image Classification (HP)
|
100% |
2315
430.5 IPS |
|
|
Image Classification (Q)
|
100% |
3499
650.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4190
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4143
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3921
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
9935
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1769
140.8 IPS |
|
|
Object Detection (HP)
|
98% |
1046
83.2 IPS |
|
|
Object Detection (Q)
|
83% |
2335
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (Q)
|
95% |
6923
82.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4044
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3729
28.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
7445
68.2 IPS |
|
|
Style Transfer (SP)
|
89% |
10137
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10103
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19013
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4415
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
677
913.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (Q)
|
50% |
718
25.5 IPS |
