samsung SM-S938U1
Geekbench AI Score
468
Single Precision Score
26478
Half Precision Score
58423
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 06:24 PM |
| 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% |
460
85.5 IPS |
|
|
Image Classification (HP)
|
100% |
21412
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49617
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
13683
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42150
685.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
122515
143.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
476091
557.2 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
17850
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
20489
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (HP)
|
100% |
38580
458.4 IPS |
|
|
Face Detection (Q)
|
97% |
124009
1.48 KIPS |
|
|
Depth Estimation (SP)
|
100% |
577
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
81968
631.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
137964
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
971
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
98326
126.8 IPS |
|
|
Style Transfer (Q)
|
98% |
486634
627.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51897
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
126230
4.68 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.7 IPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
7743
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
4246
73.1 IPS |
|
|
Machine Translation (Q)
|
56% |
2791
71.9 IPS |
