Samsung Galaxy S24 Ultra
Geekbench AI Score
2164
Single Precision Score
3414
Half Precision Score
2596
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ICEMester |
| Upload Date | October 30 2025 09:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
2303
428.4 IPS |
|
|
Image Classification (Q)
|
100% |
1755
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5012
81.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4061
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10981
12.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
20198
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
19556
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.0 IPS |
|
|
Object Detection (HP)
|
99% |
1753
139.1 IPS |
|
|
Object Detection (Q)
|
87% |
1565
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8701
103.4 IPS |
|
|
Face Detection (Q)
|
97% |
7101
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7497
57.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
5668
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13668
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29326
37.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28642
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3039
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4459
164.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4197
155.5 IPS |
|
|
Text Classification (SP)
|
35% |
45
440.1 IPS |
|
|
Text Classification (HP)
|
35% |
67
607.8 IPS |
|
|
Text Classification (Q)
|
33% |
52
623.3 IPS |
|
|
Machine Translation (SP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (HP)
|
97% |
923
16.0 IPS |
|
|
Machine Translation (Q)
|
43% |
254
14.4 IPS |
