User | C84 |
Upload Date | July 03 2025 07:24 AM |
Views | 9 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Intel Core i7-14700K |
System Information | |
---|---|
Operating System | Ubuntu 25.04 |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI D4 |
CPU Information | |
---|---|
Name | Intel Core i7-14700K |
Topology | 1 Processor, 20 Cores, 28 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 5.50 GHz |
Cluster 1 | 0 Cores |
Memory Information | |
---|---|
Size | 61.51 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2374
441.5 IPS |
|
Image Classification (HP)
|
100% |
2721
506.1 IPS |
|
Image Classification (Q)
|
99% |
1698
316.6 IPS |
|
Image Segmentation (SP)
|
100% |
3529
57.2 IPS |
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
Image Segmentation (Q)
|
98% |
1527
24.8 IPS |
|
Pose Estimation (SP)
|
100% |
3342
3.90 IPS |
|
Pose Estimation (HP)
|
100% |
3344
3.90 IPS |
|
Pose Estimation (Q)
|
96% |
5175
6.06 IPS |
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
Object Detection (HP)
|
100% |
2412
191.3 IPS |
|
Object Detection (Q)
|
85% |
1581
127.3 IPS |
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
Face Detection (HP)
|
100% |
4025
47.8 IPS |
|
Face Detection (Q)
|
97% |
3404
40.6 IPS |
|
Depth Estimation (SP)
|
100% |
3307
25.5 IPS |
|
Depth Estimation (HP)
|
99% |
3224
24.8 IPS |
|
Depth Estimation (Q)
|
63% |
2882
27.0 IPS |
|
Style Transfer (SP)
|
100% |
3354
4.31 IPS |
|
Style Transfer (HP)
|
100% |
3384
4.35 IPS |
|
Style Transfer (Q)
|
98% |
7865
10.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
2355
87.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
2357
87.0 IPS |
|
Image Super-Resolution (Q)
|
97% |
1969
73.0 IPS |
|
Text Classification (SP)
|
100% |
1618
2.16 KIPS |
|
Text Classification (HP)
|
100% |
1617
2.16 KIPS |
|
Text Classification (Q)
|
92% |
634
851.9 IPS |
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
Machine Translation (HP)
|
100% |
2938
50.6 IPS |
|
Machine Translation (Q)
|
58% |
757
17.8 IPS |