| User | jessefreeman |
| Upload Date | August 19 2024 10:35 PM |
| Views | 24 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-I GAMING |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10571
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
14968
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
9108
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15273
247.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18582
301.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13260
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
163910
191.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
407936
476.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
149968
175.6 IPS |
|
|
Object Detection (SP)
|
100% |
11880
942.3 IPS |
|
|
Object Detection (HP)
|
100% |
17444
1.38 KIPS |
|
|
Object Detection (Q)
|
89% |
10355
828.8 IPS |
|
|
Face Detection (SP)
|
100% |
30519
362.6 IPS |
|
|
Face Detection (HP)
|
100% |
40533
481.6 IPS |
|
|
Face Detection (Q)
|
97% |
25847
308.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
63863
492.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112056
863.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
47648
398.9 IPS |
|
|
Style Transfer (SP)
|
100% |
292751
376.3 IPS |
|
|
Style Transfer (HP)
|
100% |
685198
880.8 IPS |
|
|
Style Transfer (Q)
|
98% |
259126
334.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46639
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58693
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34090
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2190
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3981
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4008
69.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1881
42.0 IPS |