Upload Date | April 17 2025 01:12 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B660 DS3H AC DDR4-Y1 |
Motherboard | Gigabyte Technology Co., Ltd. B660 DS3H AC DDR4-Y1 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-12700F |
Topology | 1 Processor, 12 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
Base Frequency | 2.10 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 48.0 KB x 10 |
L2 Cache | 1.25 MB x 2 |
L3 Cache | 25.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3060 Ti |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5849
1.09 KIPS |
|
Image Classification (F16)
|
100% |
5824
1.09 KIPS |
|
Image Classification (I8)
|
100% |
4213
788.3 IPS |
|
Image Segmentation (F32)
|
100% |
7692
128.5 IPS |
|
Image Segmentation (F16)
|
100% |
7707
128.7 IPS |
|
Image Segmentation (I8)
|
98% |
6581
109.9 IPS |
|
Pose Estimation (F32)
|
100% |
81779
99.0 IPS |
|
Pose Estimation (F16)
|
100% |
82120
99.4 IPS |
|
Pose Estimation (I8)
|
100% |
65595
79.4 IPS |
|
Object Detection (F32)
|
100% |
4865
363.2 IPS |
|
Object Detection (F16)
|
100% |
4840
361.3 IPS |
|
Object Detection (I8)
|
63% |
3995
298.2 IPS |
|
Face Detection (F32)
|
100% |
16248
193.2 IPS |
|
Face Detection (F16)
|
100% |
15741
187.2 IPS |
|
Face Detection (I8)
|
89% |
11433
135.9 IPS |
|
Depth Estimation (F32)
|
100% |
36953
286.6 IPS |
|
Depth Estimation (F16)
|
100% |
33460
259.5 IPS |
|
Depth Estimation (I8)
|
94% |
26030
201.9 IPS |
|
Style Transfer (F32)
|
100% |
145452
191.3 IPS |
|
Style Transfer (F16)
|
100% |
129680
170.6 IPS |
|
Style Transfer (I8)
|
98% |
104452
137.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
23588
842.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
23875
852.7 IPS |
|
Image Super-Resolution (I8)
|
99% |
14309
511.0 IPS |
|
Text Classification (F32)
|
100% |
2161
3.11 KIPS |
|
Text Classification (F16)
|
100% |
2180
3.13 KIPS |
|
Text Classification (I8)
|
98% |
965
1.39 KIPS |
|
Machine Translation (F32)
|
100% |
2565
47.2 IPS |
|
Machine Translation (F16)
|
100% |
2561
47.1 IPS |
|
Machine Translation (I8)
|
70% |
1311
24.1 IPS |