| User | yee245 |
| Upload Date | January 22 2025 11:05 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-A GAMING WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5223
971.3 IPS |
|
|
Image Classification (HP)
|
100% |
5212
969.2 IPS |
|
|
Image Classification (Q)
|
100% |
10409
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6637
107.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6616
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11786
191.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10121
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10268
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
37703
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
5060
401.3 IPS |
|
|
Object Detection (HP)
|
100% |
5040
399.8 IPS |
|
|
Object Detection (Q)
|
88% |
11297
905.6 IPS |
|
|
Face Detection (SP)
|
100% |
14550
172.9 IPS |
|
|
Face Detection (HP)
|
100% |
14626
173.8 IPS |
|
|
Face Detection (Q)
|
100% |
27255
323.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13165
101.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13132
101.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
32106
249.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30835
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30785
39.6 IPS |
|
|
Style Transfer (Q)
|
98% |
103187
133.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6491
239.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6483
239.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19196
710.9 IPS |
|
|
Text Classification (SP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4630
6.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6542
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5947
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5918
101.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5888
101.4 IPS |