| User | aektann |
| Upload Date | November 02 2025 11:14 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z370-A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5804
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9322
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
4751
886.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10434
169.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14024
227.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8428
137.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
87409
102.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
232982
271.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
70004
82.0 IPS |
|
|
Object Detection (SP)
|
100% |
7663
607.8 IPS |
|
|
Object Detection (HP)
|
100% |
11895
943.5 IPS |
|
|
Object Detection (Q)
|
84% |
5917
477.3 IPS |
|
|
Face Detection (SP)
|
100% |
18793
223.3 IPS |
|
|
Face Detection (HP)
|
100% |
28552
339.3 IPS |
|
|
Face Detection (Q)
|
97% |
14698
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
39754
306.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68112
524.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
26742
214.2 IPS |
|
|
Style Transfer (SP)
|
100% |
148724
191.2 IPS |
|
|
Style Transfer (HP)
|
100% |
329325
423.4 IPS |
|
|
Style Transfer (Q)
|
98% |
117546
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26018
960.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35587
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15127
560.1 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2783
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1325
24.9 IPS |