Samsung Galaxy S25 Ultra
Geekbench AI Score
2579
Single Precision Score
2575
Half Precision Score
4158
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 03:57 AM |
| Views | 3 |
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-S938W |
| 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% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (Q)
|
100% |
4158
773.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3414
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5245
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4831
5.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
14053
16.7 IPS |
|
|
Object Detection (SP)
|
98% |
1315
104.6 IPS |
|
|
Object Detection (HP)
|
98% |
1339
106.6 IPS |
|
|
Object Detection (Q)
|
83% |
3154
254.8 IPS |
|
|
Face Detection (SP)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (Q)
|
95% |
7940
94.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4065
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4614
35.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
9072
83.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11603
15.1 IPS |
|
|
Style Transfer (HP)
|
89% |
11581
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24402
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4659
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
844
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
589
794.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
50% |
510
18.1 IPS |
