| User | TerrenceMiao |
| Upload Date | October 05 2024 12:20 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
4530
844.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3177
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
30244
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
746
59.1 IPS |
|
|
Object Detection (Q)
|
88% |
2311
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
4516
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2383
18.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
8926
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19425
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15697
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23521
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2650
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
562
752.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2087
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2617
58.4 IPS |