Samsung Galaxy S24 Ultra
Geekbench AI Score
2234
Single Precision Score
3515
Half Precision Score
2750
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 05:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (Q)
|
100% |
1877
349.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11249
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
20244
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19652
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
99% |
1906
151.2 IPS |
|
|
Object Detection (Q)
|
87% |
1782
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
4535
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7478
88.9 IPS |
|
|
Face Detection (Q)
|
97% |
6067
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5756
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8454
65.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6510
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14017
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30337
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30306
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3113
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5013
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4961
183.9 IPS |
|
|
Text Classification (SP)
|
35% |
55
538.7 IPS |
|
|
Text Classification (HP)
|
35% |
81
738.6 IPS |
|
|
Text Classification (Q)
|
33% |
62
741.1 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
97% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
43% |
260
14.8 IPS |
