Samsung Galaxy S25 Ultra
Geekbench AI Score
2821
Single Precision Score
2797
Half Precision Score
4448
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | asaken |
| Upload Date | November 15 2025 07:33 AM |
| Views | 6 |
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-S938Q |
| 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% |
2241
416.7 IPS |
|
|
Image Classification (HP)
|
100% |
2173
404.1 IPS |
|
|
Image Classification (Q)
|
100% |
4676
869.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5519
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5553
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5453
6.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
13589
16.1 IPS |
|
|
Object Detection (SP)
|
98% |
1755
139.6 IPS |
|
|
Object Detection (HP)
|
98% |
1773
141.1 IPS |
|
|
Object Detection (Q)
|
83% |
3858
311.6 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (Q)
|
95% |
9514
113.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4726
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4774
36.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
9106
83.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11651
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11669
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21270
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3752
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
99% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
88% |
580
781.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1422
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
50% |
560
19.9 IPS |
