| User | Zenux |
| Upload Date | September 06 2024 09:06 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS MASTER |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5388
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5359
996.6 IPS |
|
|
Image Classification (Q)
|
100% |
12351
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4578
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4546
73.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11396
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9438
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9490
11.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
37437
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
4927
390.9 IPS |
|
|
Object Detection (HP)
|
100% |
4938
391.7 IPS |
|
|
Object Detection (Q)
|
88% |
13373
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
13413
159.4 IPS |
|
|
Face Detection (HP)
|
100% |
13446
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
34991
415.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12473
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12471
96.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
37605
292.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26883
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26577
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
98818
127.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19296
714.6 IPS |
|
|
Text Classification (SP)
|
100% |
4716
6.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4722
6.30 KIPS |
|
|
Text Classification (Q)
|
92% |
6044
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6933
119.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6969
120.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8824
152.0 IPS |