Samsung Galaxy S25 Ultra
Geekbench AI Score
469
Single Precision Score
474
Half Precision Score
988
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ixhayabusa |
| Upload Date | January 18 2026 08:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
399
74.2 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.3 IPS |
|
|
Image Classification (Q)
|
99% |
1031
192.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
702
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1944
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
87% |
676
54.2 IPS |
|
|
Face Detection (SP)
|
100% |
695
8.25 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
97% |
1427
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
558
4.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
1210
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
954
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1044
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
2333
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1019
37.8 IPS |
|
|
Text Classification (SP)
|
100% |
369
491.9 IPS |
|
|
Text Classification (HP)
|
100% |
369
492.1 IPS |
|
|
Text Classification (Q)
|
91% |
567
762.1 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
404
9.88 IPS |
