Samsung Galaxy S24 Ultra
Geekbench AI Score
1022
Single Precision Score
1572
Half Precision Score
1580
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 09 2025 07:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
988
183.6 IPS |
|
|
Image Classification (Q)
|
96% |
1102
205.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1093
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2300
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
2233
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
87% |
716
57.5 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
2957
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1804
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3976
30.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
3283
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6898
8.87 IPS |
|
|
Style Transfer (HP)
|
100% |
9973
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9152
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1214
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.0 IPS |
|
|
Text Classification (HP)
|
100% |
448
597.6 IPS |
|
|
Text Classification (Q)
|
91% |
724
973.1 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
585
14.3 IPS |
