Samsung Galaxy S24 Ultra
Geekbench AI Score
2664
Single Precision Score
2752
Half Precision Score
4110
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 16 2025 03:37 PM |
| Views | 4 |
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-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% |
2408
447.7 IPS |
|
|
Image Classification (HP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (Q)
|
100% |
3913
727.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4476
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4679
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
10230
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1546
123.0 IPS |
|
|
Object Detection (HP)
|
98% |
1758
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
2486
200.8 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (Q)
|
95% |
6096
72.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3727
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3955
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6580
60.3 IPS |
|
|
Style Transfer (SP)
|
89% |
10267
13.3 IPS |
|
|
Style Transfer (HP)
|
89% |
10252
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20066
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4263
158.0 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
837
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1179
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (Q)
|
50% |
765
27.1 IPS |
