| User | danm1988 |
| Upload Date | April 01 2025 12:46 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock H510 Pro BTC+ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2821
524.5 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (Q)
|
100% |
3311
615.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2760
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
58928
68.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
109413
127.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
134055
156.9 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (Q)
|
88% |
3299
264.4 IPS |
|
|
Face Detection (SP)
|
100% |
6256
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
7214
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
7306
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18568
143.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29612
228.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26844
208.7 IPS |
|
|
Style Transfer (SP)
|
100% |
121992
156.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152921
196.6 IPS |
|
|
Style Transfer (Q)
|
98% |
171041
220.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12267
453.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14858
548.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14234
527.1 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
92% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
100% |
623
10.7 IPS |