samsung SM-S938U1
Geekbench AI Score
756
Single Precision Score
27664
Half Precision Score
62972
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 05:33 PM |
| Views | 19 |
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% |
473
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
21239
3.95 KIPS |
|
|
Image Classification (Q)
|
97% |
49612
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
13689
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
42537
691.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
790
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
119472
139.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
480643
562.6 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
19620
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
22928
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
44427
527.9 IPS |
|
|
Face Detection (Q)
|
97% |
162474
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
967
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
84781
653.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
146908
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1588
2.04 IPS |
|
|
Style Transfer (HP)
|
98% |
99035
127.7 IPS |
|
|
Style Transfer (Q)
|
98% |
495109
638.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
510
18.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53611
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134963
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
659
879.1 IPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8085
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4915
84.7 IPS |
|
|
Machine Translation (Q)
|
56% |
3270
84.2 IPS |
