| User | jrybolt |
| Upload Date | February 09 2026 03:12 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 4000 Blackwell |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11978
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
18922
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
10521
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21573
349.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
33438
542.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19497
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
139852
163.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
537266
626.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
123144
144.2 IPS |
|
|
Object Detection (SP)
|
100% |
14831
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
24619
1.95 KIPS |
|
|
Object Detection (Q)
|
86% |
12664
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
43293
514.4 IPS |
|
|
Face Detection (HP)
|
100% |
64085
761.5 IPS |
|
|
Face Detection (Q)
|
97% |
35987
429.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
71270
549.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
124017
955.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
56631
452.2 IPS |
|
|
Style Transfer (SP)
|
100% |
245513
315.6 IPS |
|
|
Style Transfer (HP)
|
100% |
826093
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
207700
267.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38798
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66862
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30920
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4484
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2066
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
6058
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6071
104.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2810
52.7 IPS |