| User | ghazinakhli |
| Upload Date | February 12 2026 04:24 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 GAMING X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1866
347.0 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
99% |
6957
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7779
126.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3969
4.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
20014
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
641
50.8 IPS |
|
|
Object Detection (Q)
|
86% |
6422
516.1 IPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
8282
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6076
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14302
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11870
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9981
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18436
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6050
224.0 IPS |
|
|
Text Classification (SP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1516
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2607
52.4 IPS |