Upload Date | September 02 2024 08:06 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO FFFFFFFFFF |
Motherboard | LENOVO 3361 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i9-14900T |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 1.10 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 | DirectML |
Device | NVIDIA GeForce RTX 4060 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5799
1.09 KIPS |
|
Image Classification (F16)
|
100% |
6161
1.15 KIPS |
|
Image Classification (I8)
|
100% |
5573
1.04 KIPS |
|
Image Segmentation (F32)
|
100% |
9566
159.8 IPS |
|
Image Segmentation (F16)
|
100% |
9168
153.1 IPS |
|
Image Segmentation (I8)
|
98% |
8511
142.1 IPS |
|
Pose Estimation (F32)
|
100% |
81634
98.9 IPS |
|
Pose Estimation (F16)
|
100% |
82015
99.3 IPS |
|
Pose Estimation (I8)
|
100% |
71766
86.9 IPS |
|
Object Detection (F32)
|
100% |
5214
389.3 IPS |
|
Object Detection (F16)
|
100% |
5386
402.1 IPS |
|
Object Detection (I8)
|
61% |
5074
378.8 IPS |
|
Face Detection (F32)
|
100% |
15189
180.6 IPS |
|
Face Detection (F16)
|
100% |
16530
196.5 IPS |
|
Face Detection (I8)
|
89% |
13162
156.5 IPS |
|
Depth Estimation (F32)
|
100% |
35687
276.8 IPS |
|
Depth Estimation (F16)
|
100% |
32762
254.1 IPS |
|
Depth Estimation (I8)
|
95% |
29430
228.2 IPS |
|
Style Transfer (F32)
|
100% |
133214
175.2 IPS |
|
Style Transfer (F16)
|
100% |
125754
165.4 IPS |
|
Style Transfer (I8)
|
98% |
112655
148.2 IPS |
|
Image Super-Resolution (F32)
|
100% |
26259
937.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
26641
951.4 IPS |
|
Image Super-Resolution (I8)
|
99% |
19006
678.8 IPS |
|
Text Classification (F32)
|
100% |
2837
4.08 KIPS |
|
Text Classification (F16)
|
100% |
2914
4.19 KIPS |
|
Text Classification (I8)
|
98% |
1754
2.52 KIPS |
|
Machine Translation (F32)
|
100% |
2999
55.2 IPS |
|
Machine Translation (F16)
|
100% |
2959
54.5 IPS |
|
Machine Translation (I8)
|
70% |
1768
32.5 IPS |