Samsung Galaxy S25 Ultra
Geekbench AI Score
455
Single Precision Score
26339
Half Precision Score
58214
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 04:10 PM |
| Views | 1 |
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-S938U1 |
| 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% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
21210
3.94 KIPS |
|
|
Image Classification (Q)
|
97% |
50265
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
549
8.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
13739
222.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
41155
669.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
121443
141.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
473192
553.8 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
17852
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20553
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
576
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
37821
449.4 IPS |
|
|
Face Detection (Q)
|
97% |
119900
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
623
4.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
80706
621.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
135378
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
907
1.17 IPS |
|
|
Style Transfer (HP)
|
98% |
98362
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
486243
627.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51766
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125726
4.66 KIPS |
|
|
Text Classification (SP)
|
100% |
316
422.0 IPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
7946
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2818
72.6 IPS |
