| User | anas_elf |
| Upload Date | August 29 2024 06:03 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware m18 R2 |
| Motherboard | Alienware 0R5W53 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8699
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
13368
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
7737
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12246
198.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15930
258.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13074
212.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
188626
220.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
356698
416.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
165127
193.4 IPS |
|
|
Object Detection (SP)
|
100% |
11611
921.0 IPS |
|
|
Object Detection (HP)
|
100% |
15045
1.19 KIPS |
|
|
Object Detection (Q)
|
89% |
8116
649.8 IPS |
|
|
Face Detection (SP)
|
100% |
22642
269.0 IPS |
|
|
Face Detection (HP)
|
100% |
35648
423.6 IPS |
|
|
Face Detection (Q)
|
97% |
24460
291.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
62065
478.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
114131
879.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
38962
326.4 IPS |
|
|
Style Transfer (SP)
|
100% |
284693
366.0 IPS |
|
|
Style Transfer (HP)
|
100% |
668000
858.7 IPS |
|
|
Style Transfer (Q)
|
98% |
255239
329.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43124
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56534
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32045
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1725
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1471
32.8 IPS |