| Upload Date | November 12 2025 02:48 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Power Plan | Gaming |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5770
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
9407
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
4405
821.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10058
163.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15806
256.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8134
132.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
72371
84.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
194186
226.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59374
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
7436
589.8 IPS |
|
|
Object Detection (HP)
|
100% |
12845
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
5522
445.3 IPS |
|
|
Face Detection (SP)
|
100% |
17700
210.3 IPS |
|
|
Face Detection (HP)
|
100% |
27517
327.0 IPS |
|
|
Face Detection (Q)
|
97% |
13345
159.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35250
271.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
66211
511.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23831
190.8 IPS |
|
|
Style Transfer (SP)
|
100% |
117604
151.2 IPS |
|
|
Style Transfer (HP)
|
100% |
288687
371.1 IPS |
|
|
Style Transfer (Q)
|
98% |
93926
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20317
750.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34299
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13311
492.9 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
99% |
2727
3.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1396
26.2 IPS |