| User | ghazinakhli |
| Upload Date | February 12 2026 01:41 PM |
| Views | 4 |
| 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% |
2544
473.1 IPS |
|
|
Image Classification (HP)
|
100% |
505
94.0 IPS |
|
|
Image Classification (Q)
|
99% |
6996
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8051
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4731
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
20038
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2231
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (Q)
|
86% |
6442
517.7 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1269
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
8206
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6636
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2013
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14206
113.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11051
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10245
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18008
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6172
228.5 IPS |
|
|
Text Classification (SP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2583
51.9 IPS |