Upload Date | September 04 2024 04:10 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 | 64.0 KB x 16 |
L1 Data Cache | 32.0 KB x 16 |
L2 Cache | 4.00 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 4060 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6246
1.17 KIPS |
|
Image Classification (F16)
|
100% |
6258
1.17 KIPS |
|
Image Classification (I8)
|
100% |
5717
1.07 KIPS |
|
Image Segmentation (F32)
|
100% |
9297
155.3 IPS |
|
Image Segmentation (F16)
|
100% |
9057
151.3 IPS |
|
Image Segmentation (I8)
|
98% |
8539
142.6 IPS |
|
Pose Estimation (F32)
|
100% |
82569
100.0 IPS |
|
Pose Estimation (F16)
|
100% |
82487
99.9 IPS |
|
Pose Estimation (I8)
|
100% |
71588
86.7 IPS |
|
Object Detection (F32)
|
100% |
5242
391.3 IPS |
|
Object Detection (F16)
|
100% |
5329
397.8 IPS |
|
Object Detection (I8)
|
61% |
4914
366.9 IPS |
|
Face Detection (F32)
|
100% |
16024
190.5 IPS |
|
Face Detection (F16)
|
100% |
16649
198.0 IPS |
|
Face Detection (I8)
|
89% |
12886
153.2 IPS |
|
Depth Estimation (F32)
|
100% |
35874
278.2 IPS |
|
Depth Estimation (F16)
|
100% |
37041
287.3 IPS |
|
Depth Estimation (I8)
|
95% |
27968
216.9 IPS |
|
Style Transfer (F32)
|
100% |
135807
178.6 IPS |
|
Style Transfer (F16)
|
100% |
124283
163.5 IPS |
|
Style Transfer (I8)
|
98% |
109926
144.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
19406
693.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
25088
896.0 IPS |
|
Image Super-Resolution (I8)
|
99% |
16195
578.4 IPS |
|
Text Classification (F32)
|
100% |
2833
4.07 KIPS |
|
Text Classification (F16)
|
100% |
2844
4.09 KIPS |
|
Text Classification (I8)
|
98% |
1732
2.49 KIPS |
|
Machine Translation (F32)
|
100% |
3051
56.2 IPS |
|
Machine Translation (F16)
|
100% |
3010
55.4 IPS |
|
Machine Translation (I8)
|
70% |
1762
32.4 IPS |