Samsung Galaxy S25 Ultra
Geekbench AI Score
2394
Single Precision Score
2629
Half Precision Score
4273
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | bassiek |
| Upload Date | June 30 2025 11:25 PM |
| Views | 10 |
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% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (Q)
|
100% |
4665
867.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5359
87.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5597
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
5608
6.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
12846
15.2 IPS |
|
|
Object Detection (SP)
|
98% |
1631
129.8 IPS |
|
|
Object Detection (HP)
|
98% |
1600
127.3 IPS |
|
|
Object Detection (Q)
|
83% |
3213
259.5 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (Q)
|
95% |
7777
92.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4053
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4522
34.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
9272
84.9 IPS |
|
|
Style Transfer (SP)
|
89% |
11482
14.9 IPS |
|
|
Style Transfer (HP)
|
89% |
11295
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24119
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3903
144.6 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.8 IPS |
|
|
Text Classification (HP)
|
99% |
663
884.8 IPS |
|
|
Text Classification (Q)
|
88% |
595
802.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
487
17.3 IPS |
