samsung SM-S938U1
Geekbench AI Score
748
Single Precision Score
27821
Half Precision Score
62819
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 09:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
471
87.7 IPS |
|
|
Image Classification (HP)
|
100% |
21327
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49525
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
13702
222.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
42324
688.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
123435
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
478474
560.0 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
19706
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
22712
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
44086
523.8 IPS |
|
|
Face Detection (Q)
|
97% |
162436
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
965
7.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
84613
651.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
146554
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1600
2.06 IPS |
|
|
Style Transfer (HP)
|
98% |
99001
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
492200
634.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54927
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135041
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
652
869.9 IPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
8108
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3275
84.4 IPS |
