| User | bearjett1 |
| Upload Date | August 13 2025 05:37 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER X |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4609
857.1 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.3 IPS |
|
|
Image Classification (Q)
|
99% |
8057
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2498
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4327
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11955
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5148
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
37827
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4786
379.6 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.2 IPS |
|
|
Object Detection (Q)
|
86% |
9038
726.4 IPS |
|
|
Face Detection (SP)
|
100% |
13719
163.0 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
13137
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14412
111.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2337
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22987
183.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26767
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12460
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33106
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4411
162.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2349
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6299
233.3 IPS |
|
|
Text Classification (SP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2642
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4365
87.7 IPS |