| User | gayskull |
| Upload Date | June 13 2025 03:37 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7455 |
| Motherboard | Dell Inc. 0DT35D |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
3121
580.5 IPS |
|
|
Image Classification (Q)
|
99% |
7049
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2484
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6895
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10147
11.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
25755
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
99% |
2620
208.4 IPS |
|
|
Object Detection (Q)
|
86% |
7152
574.8 IPS |
|
|
Face Detection (SP)
|
100% |
1980
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
7654
90.9 IPS |
|
|
Face Detection (Q)
|
97% |
13178
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2583
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4081
31.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
12469
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15696
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12017
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37473
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3953
146.4 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.3 IPS |
|
|
Text Classification (Q)
|
97% |
1264
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (HP)
|
99% |
3218
55.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3735
75.1 IPS |