| User | brokenway |
| Upload Date | May 29 2025 12:41 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370N WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z370N WIFI-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
96% |
3215
600.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
1846
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3875
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3690
4.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
8161
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
1927
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.6 IPS |
|
|
Object Detection (Q)
|
58% |
2249
245.7 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
5503
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1472
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7316
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8694
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6388
8.21 IPS |
|
|
Style Transfer (Q)
|
87% |
11530
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2248
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.1 IPS |
|
|
Text Classification (Q)
|
97% |
949
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1881
36.4 IPS |