| Upload Date | May 06 2025 08:15 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASRock Z790 PG-ITX/TB4 |
| Motherboard | ASRock Z790 PG-ITX/TB4 |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13859
2.58 KIPS |
|
|
Image Classification (HP)
|
99% |
18460
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11781
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20934
339.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24920
404.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19352
314.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
295345
344.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
508436
593.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
256946
301.1 IPS |
|
|
Object Detection (SP)
|
100% |
18253
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23639
1.88 KIPS |
|
|
Object Detection (Q)
|
86% |
15313
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
49146
584.0 IPS |
|
|
Face Detection (HP)
|
100% |
59503
707.0 IPS |
|
|
Face Detection (Q)
|
97% |
41189
491.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
91512
705.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
157470
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66610
532.7 IPS |
|
|
Style Transfer (SP)
|
100% |
541177
695.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1066813
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
471881
608.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58818
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79352
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43432
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2150
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4807
82.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2283
42.8 IPS |