Samsung Galaxy S25 Ultra
Geekbench AI Score
2946
Single Precision Score
2913
Half Precision Score
5305
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 25 2025 03:25 PM |
| 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-S938U |
| 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% |
2207
410.4 IPS |
|
|
Image Classification (HP)
|
100% |
2146
399.1 IPS |
|
|
Image Classification (Q)
|
100% |
4576
851.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5525
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5762
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
13827
16.4 IPS |
|
|
Object Detection (SP)
|
98% |
1806
143.7 IPS |
|
|
Object Detection (HP)
|
98% |
1792
142.6 IPS |
|
|
Object Detection (Q)
|
83% |
4076
329.3 IPS |
|
|
Face Detection (SP)
|
100% |
4420
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (Q)
|
95% |
10321
123.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4842
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4672
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
11038
101.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11780
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11589
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25222
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2496
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2474
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6865
254.4 IPS |
|
|
Text Classification (SP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
999
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1065
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1333
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
590
20.9 IPS |
