| User | anas_elf |
| Upload Date | August 29 2024 06:14 PM |
| Views | 18 |
| 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% |
9985
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
14416
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
8077
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14067
228.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17011
275.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12545
204.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
196568
229.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
404776
472.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
164699
192.9 IPS |
|
|
Object Detection (SP)
|
100% |
11158
885.1 IPS |
|
|
Object Detection (HP)
|
100% |
17078
1.35 KIPS |
|
|
Object Detection (Q)
|
89% |
10303
824.8 IPS |
|
|
Face Detection (SP)
|
100% |
31297
371.9 IPS |
|
|
Face Detection (HP)
|
100% |
35653
423.6 IPS |
|
|
Face Detection (Q)
|
97% |
26900
320.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
61040
470.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
116130
894.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
44334
371.4 IPS |
|
|
Style Transfer (SP)
|
100% |
308565
396.7 IPS |
|
|
Style Transfer (HP)
|
100% |
693605
891.6 IPS |
|
|
Style Transfer (Q)
|
98% |
268602
346.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44105
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59535
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33841
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3686
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3120
53.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1390
31.0 IPS |