| User | chrixmix |
| Upload Date | June 21 2025 07:47 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Ultimate 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5175
962.4 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.1 IPS |
|
|
Image Classification (Q)
|
99% |
7962
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4815
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12588
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5211
6.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
38867
45.6 IPS |
|
|
Object Detection (SP)
|
100% |
4935
391.5 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
86% |
9580
769.9 IPS |
|
|
Face Detection (SP)
|
100% |
14128
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
13776
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14931
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2388
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21934
175.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28526
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12774
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39845
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6506
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1973
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4682
94.1 IPS |