| Upload Date | November 17 2025 10:16 PM |
| Views | 1 |
| 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 | Micro-Star International Co., Ltd. Stealth GS77 12UHS |
| Motherboard | Micro-Star International Co., Ltd. MS-17P1 |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5376
999.8 IPS |
|
|
Image Classification (HP)
|
99% |
7751
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
4203
781.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10184
165.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13669
221.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7984
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
71843
83.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
218869
255.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
70758
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
7659
607.5 IPS |
|
|
Object Detection (HP)
|
100% |
11062
877.4 IPS |
|
|
Object Detection (Q)
|
85% |
5650
454.8 IPS |
|
|
Face Detection (SP)
|
100% |
17901
212.7 IPS |
|
|
Face Detection (HP)
|
100% |
26932
320.0 IPS |
|
|
Face Detection (Q)
|
97% |
13868
165.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40505
312.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68723
529.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
27277
218.4 IPS |
|
|
Style Transfer (SP)
|
100% |
152051
195.5 IPS |
|
|
Style Transfer (HP)
|
100% |
349967
449.9 IPS |
|
|
Style Transfer (Q)
|
98% |
116567
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22188
819.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29037
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13852
512.9 IPS |
|
|
Text Classification (SP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (HP)
|
99% |
1389
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
867
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1212
22.7 IPS |