User | Moonboot |
Upload Date | May 29 2025 12:49 PM |
Views | 8 |
Notes | -- Overclocked -- Voltage Limit 45% Power Limit 108% Frequency Offset 170Mhz VRAM Memory Speed 20Gbps |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | GPU |
Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | NOVATECH LTD PC-2241 |
Motherboard | ASUSTeK COMPUTER INC. PRIME B350M-A |
Power Plan | AMD Ryzen High Performance |
CPU Information | |
---|---|
Name | AMD Ryzen 7 3800X |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
Base Frequency | 3.90 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9480
1.76 KIPS |
|
Image Classification (HP)
|
100% |
17153
3.19 KIPS |
|
Image Classification (Q)
|
100% |
15505
2.88 KIPS |
|
Image Segmentation (SP)
|
100% |
15714
254.7 IPS |
|
Image Segmentation (HP)
|
100% |
22950
372.0 IPS |
|
Image Segmentation (Q)
|
99% |
23377
379.0 IPS |
|
Pose Estimation (SP)
|
100% |
85488
99.7 IPS |
|
Pose Estimation (HP)
|
100% |
344718
402.2 IPS |
|
Pose Estimation (Q)
|
97% |
590202
691.0 IPS |
|
Object Detection (SP)
|
100% |
8029
636.9 IPS |
|
Object Detection (HP)
|
100% |
18292
1.45 KIPS |
|
Object Detection (Q)
|
88% |
14434
1.16 KIPS |
|
Face Detection (SP)
|
100% |
20320
241.4 IPS |
|
Face Detection (HP)
|
100% |
40004
475.3 IPS |
|
Face Detection (Q)
|
100% |
41362
491.5 IPS |
|
Depth Estimation (SP)
|
100% |
60281
464.4 IPS |
|
Depth Estimation (HP)
|
99% |
111203
856.8 IPS |
|
Depth Estimation (Q)
|
89% |
106422
827.6 IPS |
|
Style Transfer (SP)
|
100% |
181793
233.7 IPS |
|
Style Transfer (HP)
|
100% |
544800
700.3 IPS |
|
Style Transfer (Q)
|
98% |
607089
782.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
33041
1.22 KIPS |
|
Image Super-Resolution (HP)
|
100% |
44235
1.63 KIPS |
|
Image Super-Resolution (Q)
|
99% |
37341
1.38 KIPS |
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
Text Classification (Q)
|
92% |
1709
2.30 KIPS |
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
Machine Translation (Q)
|
100% |
2784
48.0 IPS |