samsung SM-S938U1
Geekbench AI Score
742
Single Precision Score
27856
Half Precision Score
62776
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 21 2025 02:54 AM |
| Views | 8 |
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% |
468
87.0 IPS |
|
|
Image Classification (HP)
|
100% |
21503
4.00 KIPS |
|
|
Image Classification (Q)
|
97% |
49592
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
13711
222.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
42187
686.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
123562
144.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
478070
559.6 IPS |
|
|
Object Detection (SP)
|
100% |
423
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
19822
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23002
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
44241
525.7 IPS |
|
|
Face Detection (Q)
|
97% |
161134
1.92 KIPS |
|
|
Depth Estimation (SP)
|
100% |
966
7.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
84749
652.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
147042
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1594
2.05 IPS |
|
|
Style Transfer (HP)
|
98% |
98887
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491015
633.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54664
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134773
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
660
881.0 IPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
8076
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3263
84.1 IPS |
