Upload Date | August 18 2024 07:57 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Acer Predator PH16-72 |
Motherboard | RPL eTron_RTX |
Power Plan | High performance |
CPU Information | |
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Name | Intel Core i9-14900HX |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 2.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 48.0 KB x 16 |
L2 Cache | 2.00 MB x 4 |
L3 Cache | 36.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
8729
1.63 KIPS |
|
Image Classification (F16)
|
100% |
8519
1.59 KIPS |
|
Image Classification (I8)
|
100% |
7401
1.38 KIPS |
|
Image Segmentation (F32)
|
100% |
10784
180.1 IPS |
|
Image Segmentation (F16)
|
100% |
10798
180.3 IPS |
|
Image Segmentation (I8)
|
98% |
10211
170.5 IPS |
|
Pose Estimation (F32)
|
100% |
119586
144.8 IPS |
|
Pose Estimation (F16)
|
100% |
117977
142.9 IPS |
|
Pose Estimation (I8)
|
100% |
106960
129.5 IPS |
|
Object Detection (F32)
|
100% |
6010
448.7 IPS |
|
Object Detection (F16)
|
100% |
5931
442.8 IPS |
|
Object Detection (I8)
|
63% |
5301
395.8 IPS |
|
Face Detection (F32)
|
100% |
23324
277.3 IPS |
|
Face Detection (F16)
|
100% |
26583
316.1 IPS |
|
Face Detection (I8)
|
89% |
20385
242.4 IPS |
|
Depth Estimation (F32)
|
100% |
42119
326.6 IPS |
|
Depth Estimation (F16)
|
100% |
44371
344.1 IPS |
|
Depth Estimation (I8)
|
94% |
35245
273.3 IPS |
|
Style Transfer (F32)
|
100% |
192795
253.6 IPS |
|
Style Transfer (F16)
|
100% |
195071
256.6 IPS |
|
Style Transfer (I8)
|
98% |
180427
237.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
32413
1.16 KIPS |
|
Image Super-Resolution (F16)
|
100% |
32046
1.14 KIPS |
|
Image Super-Resolution (I8)
|
99% |
19759
705.7 IPS |
|
Text Classification (F32)
|
100% |
2600
3.74 KIPS |
|
Text Classification (F16)
|
100% |
2598
3.73 KIPS |
|
Text Classification (I8)
|
98% |
1319
1.90 KIPS |
|
Machine Translation (F32)
|
100% |
3457
63.6 IPS |
|
Machine Translation (F16)
|
100% |
3495
64.3 IPS |
|
Machine Translation (I8)
|
70% |
2144
39.5 IPS |