Samsung Galaxy S25 Ultra
Geekbench AI Score
624
Single Precision Score
27149
Half Precision Score
61198
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 07:08 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% |
464
86.3 IPS |
|
|
Image Classification (HP)
|
100% |
21270
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49508
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
13692
222.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
42296
687.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
120365
140.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
477869
559.3 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
18946
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21869
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
816
9.70 IPS |
|
|
Face Detection (HP)
|
100% |
41108
488.4 IPS |
|
|
Face Detection (Q)
|
97% |
136492
1.63 KIPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
84085
647.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
146144
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1612
2.07 IPS |
|
|
Style Transfer (HP)
|
98% |
98156
126.6 IPS |
|
|
Style Transfer (Q)
|
98% |
486661
627.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51435
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
133761
4.96 KIPS |
|
|
Text Classification (SP)
|
100% |
460
613.4 IPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8014
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4822
83.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3236
83.4 IPS |
