samsung SM-S938U
Geekbench AI Score
561
Single Precision Score
27013
Half Precision Score
60361
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Ivianson |
| Upload Date | April 29 2025 07:13 AM |
| Views | 12 |
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% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
21104
3.92 KIPS |
|
|
Image Classification (Q)
|
97% |
49488
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
13595
220.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
41663
677.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
585
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
123386
144.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
476815
558.1 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
17882
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20532
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
40160
477.2 IPS |
|
|
Face Detection (Q)
|
97% |
131770
1.57 KIPS |
|
|
Depth Estimation (SP)
|
100% |
667
5.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
83650
644.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
142944
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
1242
1.60 IPS |
|
|
Style Transfer (HP)
|
98% |
98698
127.3 IPS |
|
|
Style Transfer (Q)
|
98% |
490739
632.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
344
12.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53185
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134647
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
498
664.6 IPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
7985
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4746
81.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3201
82.5 IPS |
