Upload Date | August 17 2024 04:51 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% |
10262
1.92 KIPS |
|
Image Classification (F16)
|
100% |
11814
2.21 KIPS |
|
Image Classification (I8)
|
100% |
10203
1.91 KIPS |
|
Image Segmentation (F32)
|
100% |
15446
258.0 IPS |
|
Image Segmentation (F16)
|
100% |
15445
258.0 IPS |
|
Image Segmentation (I8)
|
98% |
14184
236.9 IPS |
|
Pose Estimation (F32)
|
100% |
154449
187.0 IPS |
|
Pose Estimation (F16)
|
100% |
154365
186.9 IPS |
|
Pose Estimation (I8)
|
100% |
139355
168.8 IPS |
|
Object Detection (F32)
|
100% |
6775
505.8 IPS |
|
Object Detection (F16)
|
100% |
6819
509.1 IPS |
|
Object Detection (I8)
|
63% |
6384
476.6 IPS |
|
Face Detection (F32)
|
100% |
30994
368.5 IPS |
|
Face Detection (F16)
|
100% |
33132
394.0 IPS |
|
Face Detection (I8)
|
89% |
27143
322.7 IPS |
|
Depth Estimation (F32)
|
100% |
64788
502.4 IPS |
|
Depth Estimation (F16)
|
100% |
57145
443.2 IPS |
|
Depth Estimation (I8)
|
95% |
47515
368.5 IPS |
|
Style Transfer (F32)
|
100% |
270085
355.3 IPS |
|
Style Transfer (F16)
|
100% |
268078
352.6 IPS |
|
Style Transfer (I8)
|
98% |
240013
315.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
44892
1.60 KIPS |
|
Image Super-Resolution (F16)
|
100% |
44213
1.58 KIPS |
|
Image Super-Resolution (I8)
|
99% |
32900
1.17 KIPS |
|
Text Classification (F32)
|
100% |
3467
4.98 KIPS |
|
Text Classification (F16)
|
100% |
3440
4.94 KIPS |
|
Text Classification (I8)
|
98% |
2046
2.94 KIPS |
|
Machine Translation (F32)
|
100% |
4550
83.7 IPS |
|
Machine Translation (F16)
|
100% |
4532
83.4 IPS |
|
Machine Translation (I8)
|
70% |
2673
49.2 IPS |