| User | lmeyler |
| Upload Date | February 05 2025 01:05 PM |
| Views | 30 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII HERO |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
9268
1.72 KIPS |
|
|
Image Classification (Q)
|
99% |
4928
919.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8256
133.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10163
164.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6878
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
93616
109.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
261260
304.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76329
89.4 IPS |
|
|
Object Detection (SP)
|
100% |
8065
639.8 IPS |
|
|
Object Detection (HP)
|
100% |
10987
871.5 IPS |
|
|
Object Detection (Q)
|
85% |
6048
486.9 IPS |
|
|
Face Detection (SP)
|
100% |
18021
214.1 IPS |
|
|
Face Detection (HP)
|
100% |
23814
283.0 IPS |
|
|
Face Detection (Q)
|
97% |
13883
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45815
353.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
70406
542.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
28977
232.2 IPS |
|
|
Style Transfer (SP)
|
100% |
185809
238.9 IPS |
|
|
Style Transfer (HP)
|
100% |
376224
483.6 IPS |
|
|
Style Transfer (Q)
|
98% |
136132
175.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27860
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35304
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16030
593.6 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
99% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1136
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2386
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1136
21.3 IPS |