| User | Darkp |
| Upload Date | February 08 2026 07:48 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus M16 GU603HM_GU603HM |
| Motherboard | ASUSTeK COMPUTER INC. GU603HM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5740
1.07 KIPS |
|
|
Image Classification (HP)
|
99% |
9200
1.72 KIPS |
|
|
Image Classification (Q)
|
99% |
4269
796.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8529
138.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12254
198.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6872
111.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
64829
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
189060
220.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54783
64.2 IPS |
|
|
Object Detection (SP)
|
100% |
7015
556.5 IPS |
|
|
Object Detection (HP)
|
100% |
12268
973.1 IPS |
|
|
Object Detection (Q)
|
85% |
5333
429.3 IPS |
|
|
Face Detection (SP)
|
100% |
16117
191.5 IPS |
|
|
Face Detection (HP)
|
100% |
25048
297.6 IPS |
|
|
Face Detection (Q)
|
97% |
12553
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34875
268.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67782
523.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24380
195.2 IPS |
|
|
Style Transfer (SP)
|
100% |
112098
144.1 IPS |
|
|
Style Transfer (HP)
|
100% |
300035
385.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91605
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20476
756.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36002
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13487
499.4 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3297
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1235
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1293
24.2 IPS |