Samsung Galaxy S24 Ultra
Geekbench AI Score
1055
Single Precision Score
1640
Half Precision Score
1431
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 10:49 AM |
| Views | 8 |
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-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% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (Q)
|
96% |
643
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1107
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2311
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2075
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (HP)
|
100% |
907
71.9 IPS |
|
|
Object Detection (Q)
|
87% |
861
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (Q)
|
97% |
3172
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1472
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2958
22.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2418
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5105
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
8310
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8290
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.5 IPS |
|
|
Text Classification (HP)
|
100% |
439
586.4 IPS |
|
|
Text Classification (Q)
|
91% |
722
971.1 IPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
563
13.8 IPS |
