| User | pwodev |
| Upload Date | October 07 2024 12:45 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock Z690 Taichi |
| Motherboard | ASRock Z690 Taichi |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13106
2.44 KIPS |
|
|
Image Classification (HP)
|
99% |
17607
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
11087
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19213
311.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22827
370.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17688
287.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
293383
342.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
498903
582.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
249423
292.1 IPS |
|
|
Object Detection (SP)
|
100% |
17029
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
21869
1.73 KIPS |
|
|
Object Detection (Q)
|
89% |
13760
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
43523
517.2 IPS |
|
|
Face Detection (HP)
|
100% |
52211
620.4 IPS |
|
|
Face Detection (Q)
|
97% |
36417
434.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
86750
668.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
151297
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
62632
505.2 IPS |
|
|
Style Transfer (SP)
|
100% |
528141
678.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1042173
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
459185
592.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57061
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76887
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42202
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4544
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2212
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1980
44.2 IPS |