| Upload Date | August 15 2024 08:39 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3881
721.8 IPS |
|
|
Image Classification (HP)
|
100% |
3942
733.0 IPS |
|
|
Image Classification (Q)
|
100% |
9609
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4952
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9197
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10670
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10699
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
34284
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
3537
280.5 IPS |
|
|
Object Detection (HP)
|
100% |
3530
280.0 IPS |
|
|
Object Detection (Q)
|
88% |
9770
783.2 IPS |
|
|
Face Detection (SP)
|
100% |
11487
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
11531
137.0 IPS |
|
|
Face Detection (Q)
|
100% |
26016
309.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10564
81.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
10658
82.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
27301
216.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30719
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30808
39.6 IPS |
|
|
Style Transfer (Q)
|
98% |
91957
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16336
605.0 IPS |
|
|
Text Classification (SP)
|
100% |
1604
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4450
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (Q)
|
85% |
6040
105.7 IPS |