Samsung Galaxy S25 Ultra
Geekbench AI Score
2328
Single Precision Score
2305
Half Precision Score
3994
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 08 2026 12:21 AM |
| Views | 12 |
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% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
1805
335.6 IPS |
|
|
Image Classification (Q)
|
100% |
4082
759.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4612
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3338
3.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
10222
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
1247
99.2 IPS |
|
|
Object Detection (HP)
|
98% |
1310
104.3 IPS |
|
|
Object Detection (Q)
|
83% |
2902
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (Q)
|
95% |
8701
103.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
4427
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4192
32.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
10246
93.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11184
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9547
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16876
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4480
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
679
905.9 IPS |
|
|
Text Classification (HP)
|
99% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
667
899.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
412
14.6 IPS |
