Samsung Galaxy S24 Ultra
Geekbench AI Score
507
Single Precision Score
22497
Half Precision Score
51337
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 26 2025 03:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
321
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
18185
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
41930
7.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
10964
177.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31602
513.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
100294
117.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
398524
466.4 IPS |
|
|
Object Detection (SP)
|
100% |
302
24.0 IPS |
|
|
Object Detection (HP)
|
100% |
16450
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20425
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (HP)
|
100% |
35006
415.9 IPS |
|
|
Face Detection (Q)
|
97% |
124907
1.49 KIPS |
|
|
Depth Estimation (SP)
|
100% |
659
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
64159
494.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
117335
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1033
1.33 IPS |
|
|
Style Transfer (HP)
|
98% |
85461
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
423259
545.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45675
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103860
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
439
586.3 IPS |
|
|
Text Classification (HP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6910
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2648
69.4 IPS |
