| Upload Date | August 11 2024 08:43 AM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3120
580.2 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.1 IPS |
|
|
Image Classification (Q)
|
99% |
6554
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
3154
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9107
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7386
8.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
30210
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3501
277.7 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
88% |
3423
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
401
4.76 IPS |
|
|
Face Detection (Q)
|
97% |
5621
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10184
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1342
10.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
12089
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22009
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18385
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27694
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3453
127.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5208
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2669
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
499
669.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3417
76.2 IPS |