| User | Rmlamfun |
| Upload Date | April 12 2025 08:50 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 4 Processors, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 8.26 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (Q)
|
99% |
147
27.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
491
7.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
208
3.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
655
0.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
467
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
85% |
200
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
461
5.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
720
5.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
715
5.51 IPS |
|
|
Depth Estimation (Q)
|
63% |
384
3.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1162
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1122
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
1074
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
405
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
262
9.71 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.5 IPS |
|
|
Text Classification (HP)
|
100% |
342
456.6 IPS |
|
|
Text Classification (Q)
|
92% |
151
202.5 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
58% |
151
3.54 IPS |