| User | xgrommx |
| Upload Date | October 16 2025 01:40 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware x17 R2 |
| Motherboard | Alienware 0FYTGC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6585
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10310
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
4731
879.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
11360
184.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16440
266.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8774
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
98074
114.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
259573
302.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
79051
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
8656
686.6 IPS |
|
|
Object Detection (HP)
|
100% |
13751
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
6385
514.0 IPS |
|
|
Face Detection (SP)
|
100% |
21562
256.2 IPS |
|
|
Face Detection (HP)
|
100% |
32608
387.5 IPS |
|
|
Face Detection (Q)
|
97% |
16178
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
45450
350.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83705
644.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
28524
228.4 IPS |
|
|
Style Transfer (SP)
|
100% |
170801
219.6 IPS |
|
|
Style Transfer (HP)
|
100% |
426943
548.8 IPS |
|
|
Style Transfer (Q)
|
98% |
129522
167.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26812
990.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35746
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15554
575.9 IPS |
|
|
Text Classification (SP)
|
100% |
2575
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3287
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3357
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1322
24.8 IPS |