Samsung Galaxy S24 Ultra
Geekbench AI Score
1041
Single Precision Score
1512
Half Precision Score
1471
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 07:55 AM |
| Views | 1 |
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-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% |
673
125.1 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
96% |
632
118.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1063
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2279
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
2240
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.2 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
87% |
726
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2660
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
2834
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3415
26.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2818
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6122
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
10008
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9917
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1297
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
442
589.9 IPS |
|
|
Text Classification (HP)
|
100% |
445
593.4 IPS |
|
|
Text Classification (Q)
|
91% |
731
982.6 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
57% |
581
14.2 IPS |
