Samsung Galaxy S25 Ultra
Geekbench AI Score
2710
Single Precision Score
2702
Half Precision Score
4867
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 02:52 PM |
| Views | 3 |
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-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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
1976
367.4 IPS |
|
|
Image Classification (Q)
|
100% |
4309
801.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5122
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
12823
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1656
131.8 IPS |
|
|
Object Detection (HP)
|
98% |
1645
130.9 IPS |
|
|
Object Detection (Q)
|
83% |
3803
307.2 IPS |
|
|
Face Detection (SP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (Q)
|
95% |
8890
106.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4359
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4371
33.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10093
92.4 IPS |
|
|
Style Transfer (SP)
|
89% |
11141
14.5 IPS |
|
|
Style Transfer (HP)
|
89% |
10919
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24021
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2233
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6146
227.7 IPS |
|
|
Text Classification (SP)
|
100% |
928
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
88% |
988
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
530
18.8 IPS |
