Samsung Galaxy S24 Ultra
Geekbench AI Score
2211
Single Precision Score
3424
Half Precision Score
2716
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 04:38 AM |
| Views | 5 |
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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (Q)
|
100% |
1842
342.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2862
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5269
85.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4853
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11241
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
20126
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
19818
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (HP)
|
99% |
1695
134.4 IPS |
|
|
Object Detection (Q)
|
87% |
1606
129.0 IPS |
|
|
Face Detection (SP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
7789
92.5 IPS |
|
|
Face Detection (Q)
|
97% |
5979
71.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8539
66.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
6533
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14208
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28089
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27849
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5105
189.2 IPS |
|
|
Text Classification (SP)
|
35% |
50
485.3 IPS |
|
|
Text Classification (HP)
|
35% |
67
606.2 IPS |
|
|
Text Classification (Q)
|
33% |
53
641.1 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
97% |
941
16.3 IPS |
|
|
Machine Translation (Q)
|
43% |
261
14.8 IPS |
