Samsung Galaxy S25 Ultra
Geekbench AI Score
2487
Single Precision Score
2376
Half Precision Score
3861
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 12:41 AM |
| Views | 1 |
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-S9380 |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.5 IPS |
|
|
Image Classification (Q)
|
100% |
4547
845.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5181
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5316
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
5165
6.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
12773
15.1 IPS |
|
|
Object Detection (SP)
|
98% |
1379
109.8 IPS |
|
|
Object Detection (HP)
|
98% |
1051
83.6 IPS |
|
|
Object Detection (Q)
|
83% |
2192
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (Q)
|
95% |
7013
83.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3946
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4241
32.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6613
60.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11127
14.4 IPS |
|
|
Style Transfer (HP)
|
89% |
10483
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21058
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4262
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
722
964.1 IPS |
|
|
Text Classification (HP)
|
99% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
606
816.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
