Samsung Galaxy S25 Ultra
Geekbench AI Score
2810
Single Precision Score
2743
Half Precision Score
5048
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 04:24 AM |
| Views | 2 |
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-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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1935
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (Q)
|
100% |
4262
792.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5167
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5608
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5626
6.57 IPS |
|
|
Pose Estimation (Q)
|
84% |
13894
16.5 IPS |
|
|
Object Detection (SP)
|
98% |
1745
138.8 IPS |
|
|
Object Detection (HP)
|
98% |
1450
115.3 IPS |
|
|
Object Detection (Q)
|
83% |
4028
325.4 IPS |
|
|
Face Detection (SP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4224
50.2 IPS |
|
|
Face Detection (Q)
|
95% |
9368
111.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4762
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4763
36.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10930
100.1 IPS |
|
|
Style Transfer (SP)
|
89% |
11720
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11849
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24131
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2276
84.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6251
231.6 IPS |
|
|
Text Classification (SP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
88% |
1048
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
539
19.1 IPS |
