| User | nimblebits |
| Upload Date | September 06 2024 10:07 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5802
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8286
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
8776
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13484
218.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18227
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18940
307.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
58606
68.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
185071
215.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
295234
345.6 IPS |
|
|
Object Detection (SP)
|
100% |
5361
425.2 IPS |
|
|
Object Detection (HP)
|
100% |
9854
781.6 IPS |
|
|
Object Detection (Q)
|
88% |
10248
821.3 IPS |
|
|
Face Detection (SP)
|
100% |
24676
293.2 IPS |
|
|
Face Detection (HP)
|
100% |
33920
403.0 IPS |
|
|
Face Detection (Q)
|
100% |
34984
415.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25154
193.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52518
404.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
53807
426.1 IPS |
|
|
Style Transfer (SP)
|
100% |
156695
201.4 IPS |
|
|
Style Transfer (HP)
|
100% |
292895
376.5 IPS |
|
|
Style Transfer (Q)
|
98% |
366433
472.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17787
656.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26723
986.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27347
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1862
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1565
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2618
45.1 IPS |
|
|
Machine Translation (Q)
|
82% |
2065
36.3 IPS |