| User | NeilB |
| Upload Date | November 22 2024 07:55 AM |
| Views | 23 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6801
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6919
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
16360
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9242
149.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9692
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18938
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33254
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33523
39.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
130097
152.3 IPS |
|
|
Object Detection (SP)
|
100% |
7218
572.5 IPS |
|
|
Object Detection (HP)
|
100% |
6969
552.8 IPS |
|
|
Object Detection (Q)
|
88% |
16339
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
19561
232.4 IPS |
|
|
Face Detection (HP)
|
100% |
20544
244.1 IPS |
|
|
Face Detection (Q)
|
100% |
47095
559.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21618
166.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
22787
175.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
47008
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
84010
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84485
108.6 IPS |
|
|
Style Transfer (Q)
|
98% |
301337
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15147
559.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14329
529.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39779
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5305
7.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5176
6.91 KIPS |
|
|
Text Classification (Q)
|
92% |
5882
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
7272
125.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7087
122.1 IPS |
|
|
Machine Translation (Q)
|
85% |
7031
122.9 IPS |