| User | ricnecro |
| Upload Date | October 19 2024 08:28 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z590-E GAMING WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
490
91.2 IPS |
|
|
Image Classification (Q)
|
99% |
4244
791.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2224
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4850
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4246
4.95 IPS |
|
|
Pose Estimation (Q)
|
95% |
22942
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
88% |
2269
181.9 IPS |
|
|
Face Detection (SP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
4567
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6224
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1989
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8123
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11741
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10173
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21415
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4169
154.4 IPS |
|
|
Text Classification (SP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
776
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
514
688.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2032
45.3 IPS |