Samsung Galaxy S24 Ultra
Geekbench AI Score
335
Single Precision Score
21361
Half Precision Score
48557
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 08:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
237
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
16912
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
39637
7.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
10625
172.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29861
485.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
99354
115.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
396659
464.3 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
100% |
15156
1.20 KIPS |
|
|
Object Detection (Q)
|
86% |
19329
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
31876
378.8 IPS |
|
|
Face Detection (Q)
|
97% |
107403
1.28 KIPS |
|
|
Depth Estimation (SP)
|
100% |
437
3.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
60285
464.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
108058
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (HP)
|
98% |
84658
109.2 IPS |
|
|
Style Transfer (Q)
|
98% |
417871
538.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
217
8.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44055
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103150
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (HP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6711
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2392
62.7 IPS |
