| User | cody22 |
| Upload Date | December 05 2025 10:25 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL H81 |
| Motherboard | INTEL H81 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
2322
431.8 IPS |
|
|
Image Classification (Q)
|
99% |
1190
221.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2710
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
38258
44.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20135
23.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30944
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (Q)
|
83% |
1603
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
5197
61.8 IPS |
|
|
Face Detection (Q)
|
97% |
3187
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12527
96.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11324
87.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9875
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59700
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37214
47.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46910
60.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11882
438.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8427
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7627
282.4 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (Q)
|
97% |
955
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1827
31.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1056
19.8 IPS |