Samsung Galaxy S25 Ultra
Geekbench AI Score
1319
Single Precision Score
2035
Half Precision Score
1786
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (Q)
|
100% |
896
166.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2193
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5554
6.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
10494
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10323
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
99% |
938
74.4 IPS |
|
|
Object Detection (Q)
|
85% |
939
75.6 IPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5123
60.9 IPS |
|
|
Face Detection (Q)
|
97% |
4187
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3745
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5222
40.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
4286
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9049
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21278
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20798
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2788
103.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2674
99.1 IPS |
|
|
Text Classification (SP)
|
35% |
37
361.2 IPS |
|
|
Text Classification (HP)
|
35% |
41
374.3 IPS |
|
|
Text Classification (Q)
|
33% |
35
397.0 IPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
48% |
499
19.2 IPS |
