| User | Yegor99 |
| Upload Date | July 14 2025 05:45 PM |
| Views | 11 |
| Notes | Upgrade 2 Windows 10 Pro 22H2 x64 CPU, RAM and GPU are overclocked |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. P55-UD3R |
| Motherboard | Gigabyte Technology Co., Ltd. P55-UD3R |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-860 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 30 Stepping 5 |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3645
677.9 IPS |
|
|
Image Classification (HP)
|
100% |
3601
669.6 IPS |
|
|
Image Classification (Q)
|
100% |
3069
570.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5049
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4547
73.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4317
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
38332
44.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24720
28.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
33226
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
4309
341.8 IPS |
|
|
Object Detection (HP)
|
100% |
4243
336.6 IPS |
|
|
Object Detection (Q)
|
83% |
3621
292.6 IPS |
|
|
Face Detection (SP)
|
100% |
9009
107.0 IPS |
|
|
Face Detection (HP)
|
100% |
8533
101.4 IPS |
|
|
Face Detection (Q)
|
97% |
7633
91.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22165
170.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17207
132.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16732
134.1 IPS |
|
|
Style Transfer (SP)
|
100% |
69331
89.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47813
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
59061
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13391
494.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10773
397.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8968
332.1 IPS |
|
|
Text Classification (SP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1019
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2036
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1056
19.8 IPS |