Samsung Galaxy S24 Ultra
Geekbench AI Score
1392
Single Precision Score
2211
Half Precision Score
1703
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 11 2025 12:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1009
187.7 IPS |
|
|
Image Classification (HP)
|
100% |
1494
277.9 IPS |
|
|
Image Classification (Q)
|
100% |
1376
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3691
59.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2874
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7452
8.70 IPS |
|
|
Pose Estimation (HP)
|
99% |
12911
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10561
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
99% |
1059
84.0 IPS |
|
|
Object Detection (Q)
|
87% |
1230
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (Q)
|
97% |
4628
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3651
28.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5477
42.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
3367
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7484
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
15858
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15690
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2648
97.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2580
95.6 IPS |
|
|
Text Classification (SP)
|
35% |
29
280.5 IPS |
|
|
Text Classification (HP)
|
35% |
39
355.8 IPS |
|
|
Text Classification (Q)
|
33% |
34
408.6 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
97% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
43% |
187
10.6 IPS |
