| User | Zztony |
| Upload Date | December 23 2024 07:36 AM |
| Views | 15 |
| 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 | Balanced |
| 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% |
3203
595.6 IPS |
|
|
Image Classification (HP)
|
100% |
3630
675.1 IPS |
|
|
Image Classification (Q)
|
100% |
2692
500.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4023
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4282
69.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3602
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
63272
73.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
89122
104.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
51651
60.5 IPS |
|
|
Object Detection (SP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3812
302.3 IPS |
|
|
Object Detection (Q)
|
88% |
3103
248.8 IPS |
|
|
Face Detection (SP)
|
100% |
9786
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
11028
131.0 IPS |
|
|
Face Detection (Q)
|
97% |
8326
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22172
170.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25950
199.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16558
132.6 IPS |
|
|
Style Transfer (SP)
|
100% |
107117
137.7 IPS |
|
|
Style Transfer (HP)
|
100% |
146519
188.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84944
109.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12651
467.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14821
547.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8855
327.9 IPS |
|
|
Text Classification (SP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
515
690.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
70% |
628
11.8 IPS |