| User | sunjw8888 |
| Upload Date | February 08 2025 01:36 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3497
650.3 IPS |
|
|
Image Classification (HP)
|
100% |
5842
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
3044
567.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4645
75.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5722
92.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4072
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47732
55.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
127302
148.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
40565
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
4444
352.5 IPS |
|
|
Object Detection (HP)
|
100% |
6411
508.5 IPS |
|
|
Object Detection (Q)
|
84% |
3620
292.0 IPS |
|
|
Face Detection (SP)
|
100% |
9696
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
13952
165.8 IPS |
|
|
Face Detection (Q)
|
97% |
8206
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23964
184.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45489
350.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17757
141.7 IPS |
|
|
Style Transfer (SP)
|
100% |
84696
108.9 IPS |
|
|
Style Transfer (HP)
|
100% |
187378
240.9 IPS |
|
|
Style Transfer (Q)
|
98% |
68802
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14113
521.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22963
847.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9032
334.4 IPS |
|
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2600
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
843
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1487
25.6 IPS |
|
|
Machine Translation (Q)
|
70% |
848
15.9 IPS |