Samsung Galaxy S25 Ultra
Geekbench AI Score
642
Single Precision Score
626
Half Precision Score
1358
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 04:09 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% |
419
77.8 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
99% |
1043
194.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
1042
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
2470
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
87% |
935
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
2203
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
803
6.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
779
6.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
1692
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1400
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1210
1.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3299
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1495
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
503
671.7 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.7 IPS |
|
|
Text Classification (Q)
|
91% |
735
987.5 IPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
57% |
632
15.4 IPS |
