| Upload Date | March 23 2025 07:09 PM |
| Views | 27 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse GL66 11UEK |
| Motherboard | Micro-Star International Co., Ltd. MS-1581 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6257
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10300
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
4549
848.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10197
165.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16583
268.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8092
131.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
59546
69.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
181233
211.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
51349
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
7206
571.6 IPS |
|
|
Object Detection (HP)
|
100% |
14065
1.12 KIPS |
|
|
Object Detection (Q)
|
85% |
5683
457.5 IPS |
|
|
Face Detection (SP)
|
100% |
17452
207.4 IPS |
|
|
Face Detection (HP)
|
100% |
29528
350.9 IPS |
|
|
Face Detection (Q)
|
97% |
13701
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34254
263.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68597
530.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
24343
194.9 IPS |
|
|
Style Transfer (SP)
|
100% |
113151
145.5 IPS |
|
|
Style Transfer (HP)
|
100% |
311274
400.1 IPS |
|
|
Style Transfer (Q)
|
98% |
86270
111.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19819
731.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36854
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12510
463.2 IPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3393
4.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1299
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3939
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1435
26.9 IPS |