Samsung Galaxy S24 Ultra
Geekbench AI Score
3064
Single Precision Score
3048
Half Precision Score
4805
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 08 2025 09:46 PM |
| Views | 2 |
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% |
2493
463.6 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.2 IPS |
|
|
Image Classification (Q)
|
100% |
3896
724.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2794
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4459
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4813
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4570
5.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
10484
12.4 IPS |
|
|
Object Detection (SP)
|
98% |
2336
185.9 IPS |
|
|
Object Detection (HP)
|
98% |
2364
188.1 IPS |
|
|
Object Detection (Q)
|
83% |
3335
269.4 IPS |
|
|
Face Detection (SP)
|
100% |
4422
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (Q)
|
95% |
7831
93.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4337
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4208
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7739
70.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10990
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11014
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20745
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5549
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
99% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1556
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (Q)
|
50% |
996
35.4 IPS |
