| Upload Date | November 18 2025 06:34 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 M |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 M-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.2 IPS |
|
|
Image Classification (Q)
|
96% |
3728
696.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
4681
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4988
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4709
5.49 IPS |
|
|
Pose Estimation (Q)
|
86% |
10735
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2363
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.3 IPS |
|
|
Object Detection (Q)
|
58% |
2539
277.4 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
6121
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6757
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8658
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12792
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10674
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
12627
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3470
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1862
36.0 IPS |