| User | LinFengJun |
| Upload Date | August 16 2024 02:15 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel(R) Client Systems NUC13SBBi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2659
494.5 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
99% |
4312
804.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
3149
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10981
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4455
5.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
33677
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
2860
226.9 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
88% |
2500
200.4 IPS |
|
|
Face Detection (SP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
5333
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10825
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1088
8.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
11150
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24465
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11438
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26677
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5349
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
1906
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
588
787.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2649
59.1 IPS |