| User | RG22032 |
| Upload Date | April 21 2025 03:59 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon R9 200 / HD 7900 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z97X-Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z97X-Gaming 7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (HP)
|
100% |
1605
298.5 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2044
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11343
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11392
13.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
10561
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (Q)
|
86% |
1610
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (Q)
|
97% |
3446
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7714
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7791
60.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
6306
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21571
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21702
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19638
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4462
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3588
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
495
662.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1495
25.9 IPS |
|
|
Machine Translation (Q)
|
70% |
625
11.7 IPS |