| User | anewold |
| Upload Date | May 29 2025 02:19 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9940X CPU @ 3.30GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Gigabyte Technology Co., Ltd. X299 AORUS Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. X299 AORUS Gaming 7 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9940X |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.97 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3775
702.0 IPS |
|
|
Image Classification (HP)
|
100% |
3878
721.2 IPS |
|
|
Image Classification (Q)
|
100% |
6288
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6520
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6416
104.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9087
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12864
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13195
15.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
22746
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3382
268.3 IPS |
|
|
Object Detection (HP)
|
100% |
2910
230.9 IPS |
|
|
Object Detection (Q)
|
87% |
6756
541.8 IPS |
|
|
Face Detection (SP)
|
100% |
9649
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
10849
128.9 IPS |
|
|
Face Detection (Q)
|
97% |
19555
233.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10173
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9711
74.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
16370
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30725
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40361
51.9 IPS |
|
|
Style Transfer (Q)
|
98% |
58260
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9776
362.1 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (Q)
|
91% |
1600
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3640
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3818
65.8 IPS |