User | Kos72 |
Upload Date | November 21 2024 04:23 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i9-14900KF |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
Power Plan | Prestazioni elevate |
CPU Information | |
---|---|
Name | Intel Core i9-14900KF |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4429
823.6 IPS |
|
Image Classification (HP)
|
100% |
4434
824.5 IPS |
|
Image Classification (Q)
|
100% |
3253
605.0 IPS |
|
Image Segmentation (SP)
|
100% |
5746
93.1 IPS |
|
Image Segmentation (HP)
|
100% |
5899
95.6 IPS |
|
Image Segmentation (Q)
|
99% |
3091
50.1 IPS |
|
Pose Estimation (SP)
|
100% |
13294
15.5 IPS |
|
Pose Estimation (HP)
|
100% |
13283
15.5 IPS |
|
Pose Estimation (Q)
|
96% |
11854
13.9 IPS |
|
Object Detection (SP)
|
100% |
4178
331.4 IPS |
|
Object Detection (HP)
|
100% |
4198
332.9 IPS |
|
Object Detection (Q)
|
88% |
3392
271.9 IPS |
|
Face Detection (SP)
|
100% |
13916
165.4 IPS |
|
Face Detection (HP)
|
100% |
13939
165.6 IPS |
|
Face Detection (Q)
|
100% |
8420
100.1 IPS |
|
Depth Estimation (SP)
|
100% |
13309
102.5 IPS |
|
Depth Estimation (HP)
|
99% |
13233
101.9 IPS |
|
Depth Estimation (Q)
|
89% |
9042
70.3 IPS |
|
Style Transfer (SP)
|
100% |
38832
49.9 IPS |
|
Style Transfer (HP)
|
100% |
38919
50.0 IPS |
|
Style Transfer (Q)
|
98% |
32318
41.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
6261
231.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
6241
230.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
4521
167.4 IPS |
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
Text Classification (HP)
|
100% |
2102
2.81 KIPS |
|
Text Classification (Q)
|
92% |
3367
4.52 KIPS |
|
Machine Translation (SP)
|
100% |
3715
64.0 IPS |
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
Machine Translation (Q)
|
100% |
3682
63.4 IPS |