| User | Zztony |
| Upload Date | April 06 2025 05:06 PM |
| Views | 9 |
| Notes | PRIME Z270-A m/Radeon RX Vega56eGPU |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2988
555.8 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.8 IPS |
|
|
Image Classification (Q)
|
100% |
2528
470.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3609
58.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3115
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
61726
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83925
97.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
50018
58.6 IPS |
|
|
Object Detection (SP)
|
100% |
3373
267.5 IPS |
|
|
Object Detection (HP)
|
100% |
3445
273.2 IPS |
|
|
Object Detection (Q)
|
88% |
2873
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
8637
102.6 IPS |
|
|
Face Detection (HP)
|
100% |
9663
114.8 IPS |
|
|
Face Detection (Q)
|
97% |
7497
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21672
167.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25228
194.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
16286
130.4 IPS |
|
|
Style Transfer (SP)
|
100% |
102983
132.4 IPS |
|
|
Style Transfer (HP)
|
100% |
139905
179.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84286
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11937
440.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13779
508.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8540
316.2 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
511
684.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
70% |
570
10.7 IPS |