Samsung Galaxy S25 Ultra
Geekbench AI Score
1838
Single Precision Score
2876
Half Precision Score
2587
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ___ |
| Upload Date | July 11 2025 04:09 AM |
| Views | 9 |
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-S938Q |
| 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% |
1726
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
3178
591.0 IPS |
|
|
Image Classification (Q)
|
100% |
3047
566.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5754
93.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6727
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13661
15.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18153
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17836
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
99% |
1252
99.3 IPS |
|
|
Object Detection (Q)
|
85% |
1200
96.6 IPS |
|
|
Face Detection (SP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
5840
69.4 IPS |
|
|
Face Detection (Q)
|
97% |
5389
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5507
42.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
4297
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9781
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21625
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20725
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3601
133.5 IPS |
|
|
Text Classification (SP)
|
35% |
42
404.6 IPS |
|
|
Text Classification (HP)
|
35% |
44
400.0 IPS |
|
|
Text Classification (Q)
|
33% |
44
491.3 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
48% |
403
15.5 IPS |
