| User | frufus |
| Upload Date | April 17 2025 04:09 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4767
886.5 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.4 IPS |
|
|
Image Classification (Q)
|
99% |
7806
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4242
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10894
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4974
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
34294
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4324
343.0 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
86% |
8060
647.8 IPS |
|
|
Face Detection (SP)
|
100% |
12278
145.9 IPS |
|
|
Face Detection (HP)
|
100% |
2010
23.9 IPS |
|
|
Face Detection (Q)
|
97% |
11934
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12773
98.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2351
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19687
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25496
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12906
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31597
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4168
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2478
91.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4901
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4129
83.0 IPS |