Samsung Galaxy S25 Ultra
Geekbench AI Score
2787
Single Precision Score
2779
Half Precision Score
4808
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 02:55 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
1947
362.2 IPS |
|
|
Image Classification (Q)
|
100% |
4406
819.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4553
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5272
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5426
6.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
13089
15.5 IPS |
|
|
Object Detection (SP)
|
98% |
1706
135.8 IPS |
|
|
Object Detection (HP)
|
98% |
1724
137.2 IPS |
|
|
Object Detection (Q)
|
83% |
3898
314.8 IPS |
|
|
Face Detection (SP)
|
100% |
4465
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (Q)
|
95% |
9857
117.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4632
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4527
35.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9844
90.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11338
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11521
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24737
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2258
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5164
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
88% |
904
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.5 IPS |
