Samsung Galaxy S24 Ultra
Geekbench AI Score
1114
Single Precision Score
1661
Half Precision Score
1580
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cadillacthewolf |
| Upload Date | April 03 2025 03:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
935
173.9 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (Q)
|
96% |
566
105.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1072
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2473
2.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
2450
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.5 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
87% |
1003
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
3059
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1894
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3987
30.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
3235
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6579
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
10881
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10738
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1388
51.4 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.7 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.0 IPS |
|
|
Text Classification (Q)
|
91% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
592
14.5 IPS |
