| User | Den66rus |
| Upload Date | September 26 2024 06:05 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
3688
687.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
2666
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6721
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4046
4.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
22417
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
88% |
2100
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
97% |
4426
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7999
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.81 IPS |
|
|
Depth Estimation (Q)
|
76% |
9575
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16156
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10004
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24689
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3009
111.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4530
167.8 IPS |
|
|
Text Classification (SP)
|
100% |
1711
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
710
948.3 IPS |
|
|
Text Classification (Q)
|
97% |
583
780.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2325
51.9 IPS |