User | quanhh |
Upload Date | May 11 2025 05:48 AM |
Views | 11 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 3070 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. Z690M AORUS ELITE DDR4 |
Motherboard | Gigabyte Technology Co., Ltd. Z690M AORUS ELITE DDR4 |
Power Plan | AMD Ryzen High Performance |
CPU Information | |
---|---|
Name | Intel Core i7-14700K |
Topology | 1 Processor, 20 Cores, 28 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.40 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 12 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8189
1.52 KIPS |
|
Image Classification (HP)
|
99% |
12598
2.35 KIPS |
|
Image Classification (Q)
|
100% |
5806
1.08 KIPS |
|
Image Segmentation (SP)
|
100% |
13663
221.5 IPS |
|
Image Segmentation (HP)
|
100% |
21175
343.3 IPS |
|
Image Segmentation (Q)
|
98% |
10464
170.2 IPS |
|
Pose Estimation (SP)
|
100% |
111237
129.8 IPS |
|
Pose Estimation (HP)
|
100% |
314080
366.5 IPS |
|
Pose Estimation (Q)
|
96% |
88634
103.8 IPS |
|
Object Detection (SP)
|
100% |
10627
842.9 IPS |
|
Object Detection (HP)
|
100% |
14006
1.11 KIPS |
|
Object Detection (Q)
|
85% |
6831
549.9 IPS |
|
Face Detection (SP)
|
100% |
20917
248.5 IPS |
|
Face Detection (HP)
|
100% |
32091
381.3 IPS |
|
Face Detection (Q)
|
97% |
16446
196.1 IPS |
|
Depth Estimation (SP)
|
100% |
48443
373.2 IPS |
|
Depth Estimation (HP)
|
99% |
89602
690.3 IPS |
|
Depth Estimation (Q)
|
77% |
32040
256.6 IPS |
|
Style Transfer (SP)
|
100% |
187277
240.7 IPS |
|
Style Transfer (HP)
|
100% |
464792
597.5 IPS |
|
Style Transfer (Q)
|
98% |
141132
182.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
33299
1.23 KIPS |
|
Image Super-Resolution (HP)
|
100% |
46158
1.70 KIPS |
|
Image Super-Resolution (Q)
|
99% |
18703
692.5 IPS |
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
Text Classification (HP)
|
99% |
4056
5.41 KIPS |
|
Text Classification (Q)
|
97% |
1520
2.04 KIPS |
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
Machine Translation (HP)
|
100% |
4566
78.7 IPS |
|
Machine Translation (Q)
|
70% |
1564
29.3 IPS |