| Upload Date | January 17 2026 10:54 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B50 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z490-E GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6084
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
13588
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
14229
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7733
125.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10861
176.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11306
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46173
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
208421
243.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
397964
465.9 IPS |
|
|
Object Detection (SP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (HP)
|
100% |
12910
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
14123
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
11821
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
25996
308.9 IPS |
|
|
Face Detection (Q)
|
100% |
30671
364.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40727
313.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87940
677.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
85825
667.4 IPS |
|
|
Style Transfer (SP)
|
100% |
121051
155.6 IPS |
|
|
Style Transfer (HP)
|
100% |
361962
465.3 IPS |
|
|
Style Transfer (Q)
|
98% |
507452
654.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19339
714.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39187
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41048
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1492
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1968
33.9 IPS |