Samsung Galaxy S24 Ultra
Geekbench AI Score
361
Single Precision Score
21589
Half Precision Score
49203
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:15 PM |
| Views | 3 |
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% |
308
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
18075
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
41824
7.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
10766
174.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31193
507.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
99240
115.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
396474
464.0 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
15559
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19325
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
508
6.04 IPS |
|
|
Face Detection (HP)
|
100% |
31125
369.8 IPS |
|
|
Face Detection (Q)
|
97% |
103024
1.23 KIPS |
|
|
Depth Estimation (SP)
|
100% |
434
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
61609
474.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
113218
1.06 KIPS |
|
|
Style Transfer (SP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (HP)
|
98% |
84929
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
421110
543.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44075
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103209
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
270
360.7 IPS |
|
|
Text Classification (HP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
475
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2446
64.1 IPS |
