Samsung Galaxy S24 Ultra
Geekbench AI Score
418
Single Precision Score
22142
Half Precision Score
51044
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tobbyng |
| Upload Date | December 27 2025 02:07 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% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
17848
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
39399
7.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
10671
173.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31463
511.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
96927
113.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
398370
466.3 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
16320
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
20249
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
34625
411.4 IPS |
|
|
Face Detection (Q)
|
97% |
123709
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
580
4.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
63435
488.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
116735
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (HP)
|
98% |
84868
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
422689
545.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44084
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
109405
4.05 KIPS |
|
|
Text Classification (SP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (HP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6811
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (Q)
|
55% |
2640
69.2 IPS |
