samsung SM-S938U
Geekbench AI Score
694
Single Precision Score
27639
Half Precision Score
61969
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 03:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U |
| Model ID | samsung SM-S938U |
| 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% |
452
84.0 IPS |
|
|
Image Classification (HP)
|
100% |
21497
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
48430
9.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
574
9.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
13446
218.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
42365
688.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
732
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
123534
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
479849
561.6 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
19873
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
23028
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1052
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
42590
506.1 IPS |
|
|
Face Detection (Q)
|
97% |
148814
1.77 KIPS |
|
|
Depth Estimation (SP)
|
100% |
822
6.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
84147
648.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
144859
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
1487
1.91 IPS |
|
|
Style Transfer (HP)
|
98% |
98852
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491748
634.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54486
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134932
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
569
759.4 IPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8006
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3217
82.9 IPS |
