| User | cmcclurg |
| Upload Date | October 19 2024 02:10 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.8 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.1 IPS |
|
|
Image Classification (Q)
|
99% |
4907
915.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3194
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10296
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
44044
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
88% |
2224
178.3 IPS |
|
|
Face Detection (SP)
|
100% |
3833
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
5587
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9129
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2802
21.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
10770
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20800
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22130
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37896
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3996
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
747
997.6 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2901
64.7 IPS |