| User | bassiek |
| Upload Date | June 30 2025 11:16 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11913
2.22 KIPS |
|
|
Image Classification (HP)
|
99% |
14907
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
9591
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18584
301.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21394
346.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17089
277.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
293105
342.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
487955
569.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
255895
299.8 IPS |
|
|
Object Detection (SP)
|
100% |
14661
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
19074
1.51 KIPS |
|
|
Object Detection (Q)
|
86% |
12679
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
41445
492.5 IPS |
|
|
Face Detection (HP)
|
100% |
48737
579.1 IPS |
|
|
Face Detection (Q)
|
97% |
35509
423.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
90562
697.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
138997
1.07 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66335
530.5 IPS |
|
|
Style Transfer (SP)
|
100% |
508089
653.2 IPS |
|
|
Style Transfer (HP)
|
100% |
884257
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
440214
567.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49541
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66831
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38411
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4000
68.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2187
41.0 IPS |