Samsung Galaxy S25 Ultra
Geekbench AI Score
2856
Single Precision Score
2835
Half Precision Score
5184
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 10:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (Q)
|
100% |
4515
839.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5446
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5633
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5198
6.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
13383
15.9 IPS |
|
|
Object Detection (SP)
|
98% |
1784
142.0 IPS |
|
|
Object Detection (HP)
|
98% |
1701
135.4 IPS |
|
|
Object Detection (Q)
|
83% |
3992
322.5 IPS |
|
|
Face Detection (SP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (Q)
|
95% |
9801
117.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4716
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4663
36.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
10781
98.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11981
15.6 IPS |
|
|
Style Transfer (HP)
|
89% |
11668
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24830
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2497
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6666
247.0 IPS |
|
|
Text Classification (SP)
|
100% |
960
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
564
20.0 IPS |
