Samsung Galaxy S24 Ultra
Geekbench AI Score
2234
Single Precision Score
3516
Half Precision Score
2798
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Spiike |
| Upload Date | September 10 2025 11:39 AM |
| Views | 8 |
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-S928W |
| 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% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
100% |
1891
351.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4967
80.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4072
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11075
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
20084
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19700
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (HP)
|
99% |
1868
148.2 IPS |
|
|
Object Detection (Q)
|
87% |
1864
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
4456
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
7536
89.5 IPS |
|
|
Face Detection (Q)
|
97% |
6986
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5792
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8620
66.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6488
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14006
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30314
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29876
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5011
185.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4844
179.5 IPS |
|
|
Text Classification (SP)
|
35% |
56
541.8 IPS |
|
|
Text Classification (HP)
|
35% |
72
654.6 IPS |
|
|
Text Classification (Q)
|
33% |
63
760.1 IPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
97% |
1069
18.5 IPS |
|
|
Machine Translation (Q)
|
43% |
252
14.3 IPS |
