| User | aliBencher |
| Upload Date | February 06 2026 08:59 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3278
609.7 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.5 IPS |
|
|
Image Classification (Q)
|
100% |
8786
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3399
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7567
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4890
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3571
4.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
18552
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
1747
138.5 IPS |
|
|
Object Detection (Q)
|
88% |
7079
567.5 IPS |
|
|
Face Detection (SP)
|
100% |
6992
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
6180
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
17565
208.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6610
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4906
37.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19259
149.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15157
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10252
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54541
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10302
381.5 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2049
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3448
59.4 IPS |