| Upload Date | March 06 2026 03:38 PM |
| Views | 10 |
| 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. TUF Z390-PRO GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5795
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
7917
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
4653
867.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9830
159.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12217
198.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7833
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
94068
109.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
266520
311.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
77546
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
8037
637.5 IPS |
|
|
Object Detection (HP)
|
100% |
10792
856.0 IPS |
|
|
Object Detection (Q)
|
85% |
6039
486.2 IPS |
|
|
Face Detection (SP)
|
100% |
19999
237.6 IPS |
|
|
Face Detection (HP)
|
100% |
27121
322.3 IPS |
|
|
Face Detection (Q)
|
97% |
15308
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44627
343.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
68444
527.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
28780
230.6 IPS |
|
|
Style Transfer (SP)
|
100% |
182662
234.8 IPS |
|
|
Style Transfer (HP)
|
100% |
373170
479.7 IPS |
|
|
Style Transfer (Q)
|
98% |
139008
179.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25878
955.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34270
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15413
570.7 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
943
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2707
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1244
23.3 IPS |