Samsung Galaxy S25 Ultra
Geekbench AI Score
2670
Single Precision Score
2537
Half Precision Score
4597
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 07:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
1906
354.5 IPS |
|
|
Image Classification (Q)
|
100% |
4311
801.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5118
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5066
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4664
5.44 IPS |
|
|
Pose Estimation (Q)
|
84% |
14315
17.0 IPS |
|
|
Object Detection (SP)
|
98% |
1677
133.4 IPS |
|
|
Object Detection (HP)
|
98% |
1705
135.6 IPS |
|
|
Object Detection (Q)
|
83% |
3701
298.9 IPS |
|
|
Face Detection (SP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
4188
49.8 IPS |
|
|
Face Detection (Q)
|
95% |
8896
106.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4575
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4702
36.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
10503
96.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11036
14.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11359
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23510
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4703
174.3 IPS |
|
|
Text Classification (SP)
|
100% |
817
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
601
801.7 IPS |
|
|
Text Classification (Q)
|
88% |
668
900.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
