Samsung Galaxy S24 Ultra
Geekbench AI Score
419
Single Precision Score
21983
Half Precision Score
49983
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 02:28 AM |
| Views | 6 |
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-S9280 |
| 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% |
310
57.6 IPS |
|
|
Image Classification (HP)
|
100% |
18341
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
41968
7.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
10933
177.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31297
508.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
98405
114.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
396644
464.2 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
15293
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
19365
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
32728
388.9 IPS |
|
|
Face Detection (Q)
|
97% |
111741
1.33 KIPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
63177
486.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
112187
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
98% |
85393
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
423222
545.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44205
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103259
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
354
472.6 IPS |
|
|
Text Classification (HP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6869
9.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2564
67.2 IPS |
