Upload Date | August 21 2024 07:55 AM |
Views | 5 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | LENOVO 21KU0000CD |
Motherboard | LENOVO 21KU0000CD |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core Ultra 9 185H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.30 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
L1 Instruction Cache | 64.0 KB x 11 |
L1 Data Cache | 48.0 KB x 11 |
L2 Cache | 2.00 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
4694
878.3 IPS |
|
Image Classification (F16)
|
100% |
4760
890.8 IPS |
|
Image Classification (I8)
|
100% |
4260
797.1 IPS |
|
Image Segmentation (F32)
|
100% |
5838
97.5 IPS |
|
Image Segmentation (F16)
|
100% |
5663
94.6 IPS |
|
Image Segmentation (I8)
|
98% |
5197
86.8 IPS |
|
Pose Estimation (F32)
|
100% |
44723
54.2 IPS |
|
Pose Estimation (F16)
|
100% |
56068
67.9 IPS |
|
Pose Estimation (I8)
|
100% |
39781
48.2 IPS |
|
Object Detection (F32)
|
100% |
4568
341.0 IPS |
|
Object Detection (F16)
|
100% |
3634
271.3 IPS |
|
Object Detection (I8)
|
61% |
3490
260.5 IPS |
|
Face Detection (F32)
|
100% |
12825
152.5 IPS |
|
Face Detection (F16)
|
100% |
12541
149.1 IPS |
|
Face Detection (I8)
|
89% |
10244
121.8 IPS |
|
Depth Estimation (F32)
|
100% |
18847
146.2 IPS |
|
Depth Estimation (F16)
|
100% |
24539
190.3 IPS |
|
Depth Estimation (I8)
|
95% |
21579
167.3 IPS |
|
Style Transfer (F32)
|
100% |
104119
137.0 IPS |
|
Style Transfer (F16)
|
100% |
73668
96.9 IPS |
|
Style Transfer (I8)
|
98% |
76020
100.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
18295
653.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
15963
570.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
12079
431.4 IPS |
|
Text Classification (F32)
|
100% |
1558
2.24 KIPS |
|
Text Classification (F16)
|
100% |
1532
2.20 KIPS |
|
Text Classification (I8)
|
98% |
1055
1.52 KIPS |
|
Machine Translation (F32)
|
100% |
3192
58.7 IPS |
|
Machine Translation (F16)
|
100% |
3180
58.5 IPS |
|
Machine Translation (I8)
|
70% |
1837
33.8 IPS |