Samsung Galaxy S25 Ultra
Geekbench AI Score
2422
Single Precision Score
3924
Half Precision Score
3231
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 24 2025 05:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
2566
477.3 IPS |
|
|
Image Classification (Q)
|
100% |
1982
368.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5142
83.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4311
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12647
14.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23996
28.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24133
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
1859
147.5 IPS |
|
|
Object Detection (Q)
|
85% |
1715
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8877
105.5 IPS |
|
|
Face Detection (Q)
|
97% |
7681
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6423
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8644
66.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
6840
66.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14533
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32459
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31819
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3273
120.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5090
188.7 IPS |
|
|
Text Classification (SP)
|
35% |
76
743.8 IPS |
|
|
Text Classification (HP)
|
35% |
77
696.8 IPS |
|
|
Text Classification (Q)
|
33% |
68
766.5 IPS |
|
|
Machine Translation (SP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (Q)
|
48% |
606
23.2 IPS |
