samsung SM-S938U1
Geekbench AI Score
2904
Single Precision Score
2887
Half Precision Score
5245
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Qwik |
| Upload Date | February 18 2025 06:54 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| 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% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
2095
389.6 IPS |
|
|
Image Classification (Q)
|
100% |
4638
862.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5438
88.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5511
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
13326
15.8 IPS |
|
|
Object Detection (SP)
|
98% |
1731
137.8 IPS |
|
|
Object Detection (HP)
|
98% |
1733
137.9 IPS |
|
|
Object Detection (Q)
|
83% |
4019
324.6 IPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (Q)
|
95% |
9733
116.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
4745
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4633
35.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
10771
98.7 IPS |
|
|
Style Transfer (SP)
|
89% |
11683
15.2 IPS |
|
|
Style Transfer (HP)
|
89% |
11676
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25796
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6907
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
985
1.32 KIPS |
|
|
Text Classification (HP)
|
99% |
1003
1.34 KIPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
