Samsung Galaxy S25 Ultra
Geekbench AI Score
2731
Single Precision Score
2736
Half Precision Score
4650
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 05 2026 06:50 PM |
| Views | 6 |
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% |
1932
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (Q)
|
100% |
4444
826.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5209
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5493
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5235
6.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
12960
15.4 IPS |
|
|
Object Detection (SP)
|
98% |
1768
140.7 IPS |
|
|
Object Detection (HP)
|
98% |
1708
135.9 IPS |
|
|
Object Detection (Q)
|
83% |
3959
319.8 IPS |
|
|
Face Detection (SP)
|
100% |
4532
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (Q)
|
95% |
9826
117.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
4611
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4718
36.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
10619
97.3 IPS |
|
|
Style Transfer (SP)
|
89% |
11184
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
11467
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23707
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4619
171.2 IPS |
|
|
Text Classification (SP)
|
100% |
731
976.2 IPS |
|
|
Text Classification (HP)
|
99% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
88% |
629
848.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (Q)
|
50% |
554
19.7 IPS |
