| User | itsmemono |
| Upload Date | August 15 2024 06:34 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2709
503.7 IPS |
|
|
Image Classification (HP)
|
100% |
190
35.4 IPS |
|
|
Image Classification (Q)
|
99% |
6229
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
3013
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7068
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5715
6.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
27893
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2844
225.6 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
88% |
2913
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
6069
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9120
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
76% |
12973
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17653
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15942
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31709
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3543
130.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
483
647.3 IPS |
|
|
Machine Translation (SP)
|
100% |
3017
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3288
73.3 IPS |