Samsung Galaxy S25 Ultra
Geekbench AI Score
492
Single Precision Score
26705
Half Precision Score
59361
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 10:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
21155
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
49352
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
571
9.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
13751
222.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
42296
687.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
121104
141.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
478593
560.2 IPS |
|
|
Object Detection (SP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (HP)
|
100% |
18082
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20502
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
39538
469.8 IPS |
|
|
Face Detection (Q)
|
97% |
132276
1.58 KIPS |
|
|
Depth Estimation (SP)
|
100% |
621
4.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
83706
644.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
142082
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1017
1.31 IPS |
|
|
Style Transfer (HP)
|
98% |
98474
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
491652
634.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52060
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125865
4.66 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.3 IPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
7790
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2928
75.4 IPS |
