| User | anewold |
| Upload Date | May 29 2025 11:24 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-9940X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Gigabyte Technology Co., Ltd. X299 AORUS Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. X299 AORUS Gaming 7 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9940X |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.97 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
1212
225.4 IPS |
|
|
Image Classification (Q)
|
99% |
886
165.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
370
6.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
2574
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (Q)
|
85% |
871
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
1098
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1620
12.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
957
8.98 IPS |
|
|
Style Transfer (SP)
|
100% |
1928
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1957
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2497
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1423
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
478
642.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1607
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
58% |
318
7.47 IPS |