| User | pmacutay |
| Upload Date | November 10 2024 12:12 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock Z790 PG-ITX/TB4 |
| Motherboard | ASRock Z790 PG-ITX/TB4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11219
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
14762
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
9691
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12069
195.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13538
219.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11074
180.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
240555
280.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
430826
502.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
216029
253.0 IPS |
|
|
Object Detection (SP)
|
100% |
12947
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
17026
1.35 KIPS |
|
|
Object Detection (Q)
|
89% |
11171
894.4 IPS |
|
|
Face Detection (SP)
|
100% |
28517
338.8 IPS |
|
|
Face Detection (HP)
|
100% |
32286
383.6 IPS |
|
|
Face Detection (Q)
|
97% |
25503
304.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
70243
541.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
133360
1.03 KIPS |
|
|
Depth Estimation (Q)
|
76% |
54367
438.0 IPS |
|
|
Style Transfer (SP)
|
100% |
366282
470.9 IPS |
|
|
Style Transfer (HP)
|
100% |
796742
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
323408
417.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50201
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65278
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38997
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1628
36.3 IPS |