samsung SM-S938N
Geekbench AI Score
744
Single Precision Score
27894
Half Precision Score
62869
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 25 2025 03:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938N |
| Model ID | samsung SM-S938N |
| 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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
21359
3.97 KIPS |
|
|
Image Classification (Q)
|
97% |
49639
9.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
13715
222.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
42321
688.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
762
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
124054
144.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
480173
562.0 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
19763
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
23269
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
44350
527.0 IPS |
|
|
Face Detection (Q)
|
97% |
161510
1.93 KIPS |
|
|
Depth Estimation (SP)
|
100% |
957
7.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
84863
653.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
147337
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1545
1.99 IPS |
|
|
Style Transfer (HP)
|
98% |
98973
127.6 IPS |
|
|
Style Transfer (Q)
|
98% |
492094
634.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55344
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135577
5.02 KIPS |
|
|
Text Classification (SP)
|
100% |
662
883.8 IPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
8070
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3208
82.7 IPS |
