Samsung Galaxy S25 Ultra
Geekbench AI Score
2711
Single Precision Score
2750
Half Precision Score
4681
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 06 2025 10:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U1 |
| 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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (Q)
|
100% |
4655
865.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5438
88.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5434
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5249
6.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
13024
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1723
137.2 IPS |
|
|
Object Detection (HP)
|
98% |
1705
135.7 IPS |
|
|
Object Detection (Q)
|
83% |
3937
318.0 IPS |
|
|
Face Detection (SP)
|
100% |
4438
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4323
51.4 IPS |
|
|
Face Detection (Q)
|
95% |
9845
117.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4546
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4511
34.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10613
97.2 IPS |
|
|
Style Transfer (SP)
|
89% |
11318
14.7 IPS |
|
|
Style Transfer (HP)
|
89% |
11316
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
23618
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2260
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5197
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
854
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
541
729.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
561
19.9 IPS |
