Samsung Galaxy S25 Ultra
Geekbench AI Score
763
Single Precision Score
27778
Half Precision Score
63173
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 11:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (HP)
|
100% |
21006
3.91 KIPS |
|
|
Image Classification (Q)
|
97% |
50349
9.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
13762
223.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42565
692.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
794
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
121249
141.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
480659
562.6 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
19903
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
22962
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
44234
525.6 IPS |
|
|
Face Detection (Q)
|
97% |
159017
1.90 KIPS |
|
|
Depth Estimation (SP)
|
100% |
974
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
84857
653.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
147853
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1618
2.08 IPS |
|
|
Style Transfer (HP)
|
98% |
98885
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
495550
639.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54396
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135904
5.04 KIPS |
|
|
Text Classification (SP)
|
100% |
685
914.5 IPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
8231
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4915
84.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3284
84.6 IPS |
