| User | aymansouri |
| Upload Date | April 07 2025 05:08 PM |
| Views | 25 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 GAMING X-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
96% |
3529
659.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
2107
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4133
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3388
3.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
8066
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
58% |
2323
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
5559
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6620
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10101
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8090
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11196
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2233
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
620
828.0 IPS |
|
|
Text Classification (Q)
|
97% |
1177
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1623
31.3 IPS |