Samsung Galaxy S24 Ultra
Geekbench AI Score
2216
Single Precision Score
3397
Half Precision Score
2654
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2025 02:28 PM |
| Views | 1 |
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-S928U |
| 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% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (Q)
|
100% |
1793
333.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4969
80.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3897
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
20233
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
19883
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
99% |
1861
147.6 IPS |
|
|
Object Detection (Q)
|
87% |
1733
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
4429
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
7292
86.7 IPS |
|
|
Face Detection (Q)
|
97% |
5814
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8390
64.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
6368
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14479
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31202
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31007
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4872
179.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4832
179.1 IPS |
|
|
Text Classification (SP)
|
35% |
55
536.6 IPS |
|
|
Text Classification (HP)
|
35% |
66
603.3 IPS |
|
|
Text Classification (Q)
|
33% |
51
607.8 IPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
97% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
43% |
255
14.5 IPS |
