Upload Date | July 15 2024 04:05 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 (64-bit) |
Model | Acer Predator PHN16-71 |
Motherboard | RPL Compass_RTX |
Power Plan | Acer |
CPU Information | |
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Name | Intel Core i9-13900HX |
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 | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2028
379.6 IPS |
|
Image Classification (F16)
|
100% |
2022
378.3 IPS |
|
Image Classification (I8)
|
99% |
3294
616.4 IPS |
|
Image Segmentation (F32)
|
100% |
1859
31.1 IPS |
|
Image Segmentation (F16)
|
100% |
1805
30.1 IPS |
|
Image Segmentation (I8)
|
98% |
2587
43.2 IPS |
|
Pose Estimation (F32)
|
100% |
9315
11.3 IPS |
|
Pose Estimation (F16)
|
100% |
9664
11.7 IPS |
|
Pose Estimation (I8)
|
100% |
27585
33.4 IPS |
|
Object Detection (F32)
|
100% |
1910
142.6 IPS |
|
Object Detection (F16)
|
100% |
1878
140.2 IPS |
|
Object Detection (I8)
|
62% |
1702
127.1 IPS |
|
Face Detection (F32)
|
100% |
3766
44.8 IPS |
|
Face Detection (F16)
|
100% |
3866
46.0 IPS |
|
Face Detection (I8)
|
89% |
4067
48.4 IPS |
|
Depth Estimation (F32)
|
100% |
8949
69.4 IPS |
|
Depth Estimation (F16)
|
100% |
8179
63.4 IPS |
|
Depth Estimation (I8)
|
96% |
13423
104.1 IPS |
|
Style Transfer (F32)
|
100% |
21236
27.9 IPS |
|
Style Transfer (F16)
|
100% |
21037
27.7 IPS |
|
Style Transfer (I8)
|
98% |
22481
29.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
3630
129.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
3813
136.2 IPS |
|
Image Super-Resolution (I8)
|
99% |
4642
165.8 IPS |
|
Text Classification (F32)
|
100% |
1468
2.11 KIPS |
|
Text Classification (F16)
|
100% |
1327
1.91 KIPS |
|
Text Classification (I8)
|
98% |
375
538.4 IPS |
|
Machine Translation (F32)
|
100% |
1871
34.4 IPS |
|
Machine Translation (F16)
|
100% |
1882
34.6 IPS |
|
Machine Translation (I8)
|
67% |
2691
49.5 IPS |