samsung SM-S938U1
Geekbench AI Score
758
Single Precision Score
27848
Half Precision Score
63000
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 21 2025 04:31 PM |
| Views | 8 |
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% |
21417
3.98 KIPS |
|
|
Image Classification (Q)
|
97% |
49613
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
13678
221.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
42340
688.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
123661
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
480650
562.6 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
100% |
19897
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
22825
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
44268
526.0 IPS |
|
|
Face Detection (Q)
|
97% |
162702
1.94 KIPS |
|
|
Depth Estimation (SP)
|
100% |
963
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
84945
654.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
147466
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (HP)
|
98% |
98971
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
495877
639.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54822
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135022
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
683
911.1 IPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
8134
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4869
83.9 IPS |
|
|
Machine Translation (Q)
|
56% |
3271
84.3 IPS |
