Samsung Galaxy S24 Ultra
Geekbench AI Score
2279
Single Precision Score
3613
Half Precision Score
2797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:08 PM |
| Views | 6 |
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-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% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
100% |
2411
448.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4620
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
20091
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19826
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.6 IPS |
|
|
Object Detection (HP)
|
99% |
1949
154.6 IPS |
|
|
Object Detection (Q)
|
87% |
1799
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7492
89.0 IPS |
|
|
Face Detection (Q)
|
97% |
5916
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8388
64.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
6470
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13956
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29597
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29135
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3224
119.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4825
178.8 IPS |
|
|
Text Classification (SP)
|
35% |
54
527.7 IPS |
|
|
Text Classification (HP)
|
35% |
73
660.1 IPS |
|
|
Text Classification (Q)
|
33% |
53
640.1 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
97% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
43% |
259
14.7 IPS |
