| Upload Date | April 21 2025 08:21 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock B850M Pro RS |
| Motherboard | ASRock B850M Pro RS |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6233
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
9684
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
10221
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19148
310.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28726
465.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30114
488.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
77086
89.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
219287
255.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
349218
408.9 IPS |
|
|
Object Detection (SP)
|
100% |
6023
477.8 IPS |
|
|
Object Detection (HP)
|
100% |
12543
994.9 IPS |
|
|
Object Detection (Q)
|
88% |
12862
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
27902
331.5 IPS |
|
|
Face Detection (HP)
|
100% |
39793
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
41075
488.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27280
210.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64501
496.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
68000
528.6 IPS |
|
|
Style Transfer (SP)
|
100% |
201600
259.2 IPS |
|
|
Style Transfer (HP)
|
100% |
323713
416.1 IPS |
|
|
Style Transfer (Q)
|
98% |
405261
522.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19914
735.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29319
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30482
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3309
57.0 IPS |