| User | rolkit |
| Upload Date | November 12 2024 08:45 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4142
770.2 IPS |
|
|
Image Classification (HP)
|
100% |
6659
1.24 KIPS |
|
|
Image Classification (Q)
|
56% |
6128
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4101
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2661
43.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8537
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
33547
39.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74274
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
3995
316.8 IPS |
|
|
Object Detection (HP)
|
100% |
5500
436.3 IPS |
|
|
Object Detection (Q)
|
87% |
8357
670.7 IPS |
|
|
Face Detection (SP)
|
100% |
12346
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
14226
169.0 IPS |
|
|
Face Detection (Q)
|
100% |
25387
301.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10702
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19093
147.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
34784
270.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24958
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52778
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96773
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5226
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14064
519.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25157
931.7 IPS |
|
|
Text Classification (SP)
|
100% |
1279
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2254
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3332
57.4 IPS |