| Upload Date | December 13 2025 03:23 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4815
895.4 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.8 IPS |
|
|
Image Classification (Q)
|
99% |
7595
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13368
217.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11411
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
34588
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (HP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (Q)
|
86% |
8435
677.9 IPS |
|
|
Face Detection (SP)
|
100% |
13168
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
12812
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13131
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2321
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19363
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25946
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12516
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27381
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4293
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7005
259.4 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1637
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3964
79.7 IPS |