samsung SM-S938U1
Geekbench AI Score
772
Single Precision Score
27972
Half Precision Score
63048
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 11:30 PM |
| Views | 15 |
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% |
483
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
21768
4.05 KIPS |
|
|
Image Classification (Q)
|
97% |
49504
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13786
223.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42479
690.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
123803
144.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
480702
562.6 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
19805
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23073
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
44608
530.0 IPS |
|
|
Face Detection (Q)
|
97% |
163410
1.95 KIPS |
|
|
Depth Estimation (SP)
|
100% |
978
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
84728
652.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
147586
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
1617
2.08 IPS |
|
|
Style Transfer (HP)
|
98% |
98921
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
495555
639.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54838
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134915
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
691
922.8 IPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8054
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4948
85.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3277
84.4 IPS |
