samsung s25 ultra 16gb samsung SM-S9380
Geekbench AI Score
2920
Single Precision Score
2894
Half Precision Score
5188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | ustw |
| Upload Date | February 27 2025 01:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S9380 |
| Model ID | samsung SM-S9380 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2267
421.5 IPS |
|
|
Image Classification (HP)
|
100% |
2179
405.2 IPS |
|
|
Image Classification (Q)
|
100% |
4321
803.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5453
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5646
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5470
6.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
13696
16.2 IPS |
|
|
Object Detection (SP)
|
98% |
1751
139.4 IPS |
|
|
Object Detection (HP)
|
98% |
1771
140.9 IPS |
|
|
Object Detection (Q)
|
83% |
4064
328.3 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
4361
51.8 IPS |
|
|
Face Detection (Q)
|
95% |
9685
115.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4637
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4652
35.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
10751
98.5 IPS |
|
|
Style Transfer (SP)
|
89% |
11813
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11567
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24668
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2472
91.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6740
249.7 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
99% |
1000
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1063
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
586
20.8 IPS |
