| User | itsmemono |
| Upload Date | August 15 2024 06:38 PM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| 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% |
14879
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
15763
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
12353
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21889
354.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19536
316.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20174
328.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
271370
316.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
397313
463.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
237372
278.1 IPS |
|
|
Object Detection (SP)
|
100% |
16366
1.30 KIPS |
|
|
Object Detection (HP)
|
99% |
17495
1.39 KIPS |
|
|
Object Detection (Q)
|
89% |
14235
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
42310
502.7 IPS |
|
|
Face Detection (HP)
|
100% |
46956
557.9 IPS |
|
|
Face Detection (Q)
|
97% |
35849
427.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
80572
620.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
92533
712.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
62759
514.3 IPS |
|
|
Style Transfer (SP)
|
100% |
439109
564.5 IPS |
|
|
Style Transfer (HP)
|
100% |
625210
803.7 IPS |
|
|
Style Transfer (Q)
|
98% |
389862
502.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50110
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61853
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40383
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4606
6.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4466
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2922
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4868
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2287
51.0 IPS |