Samsung Galaxy S25 Ultra
Geekbench AI Score
397
Single Precision Score
27068
Half Precision Score
65700
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ixhayabusa |
| Upload Date | January 18 2026 08:46 PM |
| Views | 11 |
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% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
20272
3.77 KIPS |
|
|
Image Classification (Q)
|
96% |
50114
9.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
13437
217.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
49738
808.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
123529
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
476995
558.3 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
18513
1.47 KIPS |
|
|
Object Detection (Q)
|
85% |
27056
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
37073
440.5 IPS |
|
|
Face Detection (Q)
|
97% |
119536
1.43 KIPS |
|
|
Depth Estimation (SP)
|
100% |
498
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
78519
604.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
164023
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
906
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
92752
119.2 IPS |
|
|
Style Transfer (Q)
|
98% |
483169
623.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52788
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
127488
4.72 KIPS |
|
|
Text Classification (SP)
|
100% |
315
421.1 IPS |
|
|
Text Classification (HP)
|
100% |
4373
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
11107
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.47 IPS |
|
|
Machine Translation (HP)
|
100% |
5440
93.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3473
89.5 IPS |
