| User | BigAl0546 |
| Upload Date | October 11 2024 05:50 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H310T2 R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.1 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
96% |
1605
299.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1270
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4006
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
7289
8.61 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
1114
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
96% |
2375
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1191
9.17 IPS |
|
|
Depth Estimation (Q)
|
77% |
3459
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9468
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7494
9.63 IPS |
|
|
Style Transfer (Q)
|
87% |
9243
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1862
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
411
548.5 IPS |
|
|
Text Classification (Q)
|
97% |
275
368.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
60% |
1023
22.8 IPS |