| User | GyBHard |
| Upload Date | January 23 2026 11:06 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8500 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Bluefin (Version: 43.20251119.1) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z390-P |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8500 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.25 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
100% |
3370
626.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3982
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4211
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
8710
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (HP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (Q)
|
87% |
3560
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
4139
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (Q)
|
97% |
9295
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5536
42.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9553
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12795
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13140
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24876
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5212
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
91% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3239
55.8 IPS |