| User | Ricochet |
| Upload Date | January 05 2026 10:03 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XMB-KB1DE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (HP)
|
100% |
1134
210.8 IPS |
|
|
Image Classification (Q)
|
99% |
1078
201.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3976
64.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5181
84.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6927
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
34080
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
55963
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (Q)
|
92% |
1849
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
6343
75.4 IPS |
|
|
Face Detection (Q)
|
97% |
9081
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2414
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9252
71.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12104
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17148
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25964
33.4 IPS |
|
|
Style Transfer (Q)
|
98% |
62179
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4239
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
157
210.2 IPS |
|
|
Text Classification (Q)
|
95% |
251
336.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
67% |
827
16.1 IPS |