samsung SM-S938U1
Geekbench AI Score
443
Single Precision Score
26444
Half Precision Score
58407
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 07:29 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% |
444
82.5 IPS |
|
|
Image Classification (HP)
|
100% |
21354
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49551
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
13766
223.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
42101
684.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
122189
142.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
473344
554.0 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
17935
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20562
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
38685
459.7 IPS |
|
|
Face Detection (Q)
|
97% |
124279
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
81161
625.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
136111
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
909
1.17 IPS |
|
|
Style Transfer (HP)
|
98% |
98310
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
487950
629.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51740
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
126904
4.70 KIPS |
|
|
Text Classification (SP)
|
100% |
315
420.4 IPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7823
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
4210
72.5 IPS |
|
|
Machine Translation (Q)
|
56% |
2777
71.5 IPS |
