| User | Yegor99 |
| Upload Date | June 20 2025 03:32 PM |
| Views | 16 |
| Notes | Upgrade 2 Windows 10 Pro 22H2 x64 |
| 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 | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3235
601.6 IPS |
|
|
Image Classification (HP)
|
100% |
3261
606.4 IPS |
|
|
Image Classification (Q)
|
100% |
2719
505.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4435
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4199
68.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3821
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34904
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23080
26.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
30023
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3792
300.8 IPS |
|
|
Object Detection (HP)
|
100% |
3839
304.5 IPS |
|
|
Object Detection (Q)
|
83% |
3198
258.4 IPS |
|
|
Face Detection (SP)
|
100% |
7754
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
7744
92.0 IPS |
|
|
Face Detection (Q)
|
97% |
6557
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19742
152.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15729
121.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
14735
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
63061
81.1 IPS |
|
|
Style Transfer (HP)
|
100% |
44500
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
51966
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11681
431.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9795
361.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7766
287.5 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
899
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1870
32.3 IPS |
|
|
Machine Translation (Q)
|
70% |
942
17.7 IPS |