| User | arcashton |
| Upload Date | August 17 2024 01:44 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5303
986.2 IPS |
|
|
Image Classification (HP)
|
100% |
8924
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
3974
739.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9120
147.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12188
197.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7384
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
73008
85.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
208152
242.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
60690
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
6642
526.8 IPS |
|
|
Object Detection (HP)
|
100% |
10647
844.6 IPS |
|
|
Object Detection (Q)
|
89% |
5011
401.1 IPS |
|
|
Face Detection (SP)
|
100% |
15002
178.3 IPS |
|
|
Face Detection (HP)
|
100% |
22209
263.9 IPS |
|
|
Face Detection (Q)
|
97% |
11579
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33538
258.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58991
454.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
23008
184.7 IPS |
|
|
Style Transfer (SP)
|
100% |
118599
152.5 IPS |
|
|
Style Transfer (HP)
|
100% |
268812
345.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97487
125.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23117
853.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32737
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14204
526.0 IPS |
|
|
Text Classification (SP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2747
3.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1145
25.5 IPS |