samsung SM-S937U1
Geekbench AI Score
545
Single Precision Score
27081
Half Precision Score
60779
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Betancd |
| Upload Date | June 05 2025 06:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S937U1 |
| Model ID | samsung SM-S937U1 |
| 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% |
449
83.5 IPS |
|
|
Image Classification (HP)
|
100% |
21107
3.93 KIPS |
|
|
Image Classification (Q)
|
97% |
49623
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
13253
214.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
39999
650.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
123487
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
477206
558.5 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
18913
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
22130
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
812
9.65 IPS |
|
|
Face Detection (HP)
|
100% |
41956
498.5 IPS |
|
|
Face Detection (Q)
|
97% |
143515
1.71 KIPS |
|
|
Depth Estimation (SP)
|
100% |
706
5.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
82849
638.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
142479
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1101
1.42 IPS |
|
|
Style Transfer (HP)
|
98% |
98590
127.1 IPS |
|
|
Style Transfer (Q)
|
98% |
490160
632.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53415
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134476
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
8061
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3021
77.8 IPS |
