| Upload Date | March 31 2026 10:22 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro B70 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-3435X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18984
3.53 KIPS |
|
|
Image Classification (HP)
|
100% |
30172
5.61 KIPS |
|
|
Image Classification (Q)
|
100% |
27342
5.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
44961
728.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
83420
1.35 KIPS |
|
|
Image Segmentation (Q)
|
99% |
92920
1.51 KIPS |
|
|
Pose Estimation (SP)
|
100% |
114207
133.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
450042
525.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
958068
1.12 KIPS |
|
|
Object Detection (SP)
|
100% |
16338
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
38456
3.05 KIPS |
|
|
Object Detection (Q)
|
88% |
37186
2.98 KIPS |
|
|
Face Detection (SP)
|
100% |
46654
554.4 IPS |
|
|
Face Detection (HP)
|
100% |
80915
961.4 IPS |
|
|
Face Detection (Q)
|
100% |
78450
932.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
69210
533.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
185236
1.43 KIPS |
|
|
Depth Estimation (Q)
|
89% |
171300
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
298770
384.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1005271
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
1504099
1.94 KIPS |
|
|
Image Super-Resolution (SP)
|
100% |
42817
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95724
3.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
95724
3.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4885
6.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2979
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5912
101.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7239
125.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7136
122.9 IPS |