| User | svjness |
| Upload Date | July 29 2025 05:26 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | Micro-Star International Co., Ltd. GE76 Raider 11UE |
| Motherboard | Micro-Star International Co., Ltd. MS-17K3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.10 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
1208
224.6 IPS |
|
|
Image Classification (Q)
|
99% |
708
132.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
712
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2436
2.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
2209
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (Q)
|
85% |
689
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (Q)
|
97% |
1803
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2326
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2328
17.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1480
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2591
3.33 IPS |
|
|
Style Transfer (HP)
|
100% |
2598
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4277
5.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1102
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
539
724.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2385
41.1 IPS |
|
|
Machine Translation (Q)
|
58% |
582
13.7 IPS |