| User | neo9922 |
| Upload Date | March 24 2025 07:05 PM |
| Views | 26 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII HERO |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3882
721.9 IPS |
|
|
Image Classification (HP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (Q)
|
99% |
3267
609.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8023
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7960
129.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6122
99.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
97075
113.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
54907
64.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72329
84.7 IPS |
|
|
Object Detection (SP)
|
100% |
4757
377.3 IPS |
|
|
Object Detection (HP)
|
100% |
6534
518.3 IPS |
|
|
Object Detection (Q)
|
84% |
3650
294.4 IPS |
|
|
Face Detection (SP)
|
100% |
8733
103.8 IPS |
|
|
Face Detection (HP)
|
100% |
13001
154.5 IPS |
|
|
Face Detection (Q)
|
97% |
7336
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29177
224.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24297
187.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
20303
162.6 IPS |
|
|
Style Transfer (SP)
|
100% |
164740
211.8 IPS |
|
|
Style Transfer (HP)
|
100% |
81617
104.9 IPS |
|
|
Style Transfer (Q)
|
98% |
113541
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26089
963.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18662
689.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14401
533.2 IPS |
|
|
Text Classification (SP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1171
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
96% |
3577
61.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1547
29.0 IPS |