| User | DGYG2755399 |
| Upload Date | July 27 2025 03:37 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z370-G GAMING (WI-FI AC) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600KF |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8175
1.52 KIPS |
|
|
Image Classification (HP)
|
99% |
12493
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
7246
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11943
193.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13957
226.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11909
193.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
164717
192.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
373559
435.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
149342
175.0 IPS |
|
|
Object Detection (SP)
|
100% |
10567
838.1 IPS |
|
|
Object Detection (HP)
|
100% |
14254
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
9205
741.0 IPS |
|
|
Face Detection (SP)
|
100% |
26758
317.9 IPS |
|
|
Face Detection (HP)
|
100% |
33588
399.1 IPS |
|
|
Face Detection (Q)
|
97% |
24300
289.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
60339
464.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102468
791.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
47075
376.4 IPS |
|
|
Style Transfer (SP)
|
100% |
274024
352.3 IPS |
|
|
Style Transfer (HP)
|
100% |
550187
707.3 IPS |
|
|
Style Transfer (Q)
|
98% |
241208
311.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41652
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50707
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31429
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3159
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1816
34.1 IPS |