samsung SM-S938U1
Geekbench AI Score
750
Single Precision Score
27835
Half Precision Score
62827
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 21 2025 02:07 AM |
| Views | 9 |
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% |
477
88.7 IPS |
|
|
Image Classification (HP)
|
100% |
21271
3.96 KIPS |
|
|
Image Classification (Q)
|
97% |
49371
9.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
13775
223.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
42501
691.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
123522
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
478802
560.4 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.6 IPS |
|
|
Object Detection (HP)
|
100% |
19688
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
22728
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
44535
529.2 IPS |
|
|
Face Detection (Q)
|
97% |
162895
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
967
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
84585
651.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
147318
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1585
2.04 IPS |
|
|
Style Transfer (HP)
|
98% |
98904
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
493049
635.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54869
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134970
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
659
880.0 IPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8042
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4881
84.1 IPS |
|
|
Machine Translation (Q)
|
56% |
3268
84.2 IPS |
