Samsung Galaxy S25 Ultra
Geekbench AI Score
2386
Single Precision Score
3249
Half Precision Score
4118
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | DanielStr |
| Upload Date | March 01 2026 08:12 AM |
| 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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.7 IPS |
|
|
Image Classification (Q)
|
99% |
4284
799.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5359
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5310
6.20 IPS |
|
|
Pose Estimation (HP)
|
92% |
10350
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11890
13.9 IPS |
|
|
Object Detection (SP)
|
98% |
1092
86.9 IPS |
|
|
Object Detection (HP)
|
97% |
1192
94.9 IPS |
|
|
Object Detection (Q)
|
85% |
2263
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
4826
57.3 IPS |
|
|
Face Detection (Q)
|
97% |
7271
86.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3841
29.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7370
57.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
9726
89.8 IPS |
|
|
Style Transfer (SP)
|
89% |
11312
14.7 IPS |
|
|
Style Transfer (HP)
|
88% |
12691
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24406
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
3455
128.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2990
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
567
756.1 IPS |
|
|
Text Classification (HP)
|
100% |
587
783.2 IPS |
|
|
Text Classification (Q)
|
93% |
581
780.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1453
25.1 IPS |
|
|
Machine Translation (Q)
|
55% |
759
20.4 IPS |
