Samsung Galaxy S25 Ultra
Geekbench AI Score
1991
Single Precision Score
2871
Half Precision Score
2423
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 02 2025 09:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Elite |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S25 Ultra |
| Model ID | samsung SM-S938U1 |
| 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% |
1314
244.3 IPS |
|
|
Image Classification (HP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (Q)
|
100% |
1958
364.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2648
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3987
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10219
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18253
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
18044
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
99% |
1234
97.9 IPS |
|
|
Object Detection (Q)
|
85% |
1217
97.9 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5755
68.4 IPS |
|
|
Face Detection (Q)
|
97% |
5165
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7430
57.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
5766
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12636
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22496
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22253
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3673
136.1 IPS |
|
|
Text Classification (SP)
|
35% |
48
470.6 IPS |
|
|
Text Classification (HP)
|
35% |
48
437.9 IPS |
|
|
Text Classification (Q)
|
33% |
37
413.8 IPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
48% |
453
17.4 IPS |
