Upload Date | August 17 2024 05:10 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7E06 |
Motherboard | Micro-Star International Co., Ltd. PRO Z790-P DDR4 (MS-7E06) |
CPU Information | |
---|---|
Name | Intel Core i5-13600KF |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 48.0 KB x 10 |
L2 Cache | 2.00 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 SUPER |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
10365
1.94 KIPS |
|
Image Classification (F16)
|
100% |
11736
2.20 KIPS |
|
Image Classification (I8)
|
100% |
9913
1.85 KIPS |
|
Image Segmentation (F32)
|
100% |
16422
274.3 IPS |
|
Image Segmentation (F16)
|
100% |
15615
260.8 IPS |
|
Image Segmentation (I8)
|
98% |
14174
236.7 IPS |
|
Pose Estimation (F32)
|
100% |
154146
186.7 IPS |
|
Pose Estimation (F16)
|
100% |
149473
181.0 IPS |
|
Pose Estimation (I8)
|
100% |
138940
168.3 IPS |
|
Object Detection (F32)
|
100% |
6820
509.2 IPS |
|
Object Detection (F16)
|
100% |
6785
506.6 IPS |
|
Object Detection (I8)
|
63% |
6232
465.2 IPS |
|
Face Detection (F32)
|
100% |
30660
364.6 IPS |
|
Face Detection (F16)
|
100% |
31348
372.7 IPS |
|
Face Detection (I8)
|
89% |
25745
306.1 IPS |
|
Depth Estimation (F32)
|
100% |
65411
507.3 IPS |
|
Depth Estimation (F16)
|
100% |
58037
450.1 IPS |
|
Depth Estimation (I8)
|
95% |
47389
367.5 IPS |
|
Style Transfer (F32)
|
100% |
267456
351.8 IPS |
|
Style Transfer (F16)
|
100% |
267227
351.5 IPS |
|
Style Transfer (I8)
|
98% |
242053
318.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
45394
1.62 KIPS |
|
Image Super-Resolution (F16)
|
100% |
45749
1.63 KIPS |
|
Image Super-Resolution (I8)
|
99% |
33194
1.19 KIPS |
|
Text Classification (F32)
|
100% |
3442
4.95 KIPS |
|
Text Classification (F16)
|
100% |
3505
5.04 KIPS |
|
Text Classification (I8)
|
98% |
2072
2.98 KIPS |
|
Machine Translation (F32)
|
100% |
4575
84.2 IPS |
|
Machine Translation (F16)
|
100% |
4569
84.1 IPS |
|
Machine Translation (I8)
|
70% |
2681
49.3 IPS |