Samsung Galaxy S25 Ultra
Geekbench AI Score
580
Single Precision Score
27074
Half Precision Score
60934
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 30 2025 09:43 PM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
21309
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49335
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
13699
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42438
690.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
712
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
123071
143.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
477004
558.3 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
17978
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
20508
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (HP)
|
100% |
41814
496.8 IPS |
|
|
Face Detection (Q)
|
97% |
147089
1.75 KIPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
84541
651.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
146259
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1471
1.89 IPS |
|
|
Style Transfer (HP)
|
98% |
98476
127.0 IPS |
|
|
Style Transfer (Q)
|
98% |
490879
633.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53491
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135072
5.01 KIPS |
|
|
Text Classification (SP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (HP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7943
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3041
78.3 IPS |
