Samsung Galaxy S25 Ultra
Geekbench AI Score
2488
Single Precision Score
2497
Half Precision Score
4394
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 06 2025 06:56 AM |
| 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% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.0 IPS |
|
|
Image Classification (Q)
|
100% |
4438
825.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5144
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5313
6.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
12807
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1293
102.9 IPS |
|
|
Object Detection (HP)
|
98% |
1196
95.1 IPS |
|
|
Object Detection (Q)
|
83% |
2652
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (Q)
|
95% |
7750
92.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4466
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4775
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
11212
102.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11681
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11770
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25556
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4434
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.1 IPS |
|
|
Text Classification (HP)
|
99% |
721
962.2 IPS |
|
|
Text Classification (Q)
|
88% |
607
818.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
