EUROCOM RAPTOR X18
Geekbench AI Score
29344
Single Precision Score
48987
Half Precision Score
22930
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 06 2025 05:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EUROCOM RAPTOR X18 |
| Motherboard | EUROCOM X58xWNx |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12235
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
18610
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
10562
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19010
308.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25363
411.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17599
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
192746
224.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
541568
631.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
161464
189.1 IPS |
|
|
Object Detection (SP)
|
100% |
15265
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
22856
1.81 KIPS |
|
|
Object Detection (Q)
|
86% |
13336
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
40794
484.7 IPS |
|
|
Face Detection (HP)
|
100% |
57763
686.4 IPS |
|
|
Face Detection (Q)
|
97% |
35431
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
78442
604.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
155625
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59200
472.7 IPS |
|
|
Style Transfer (SP)
|
100% |
280410
360.5 IPS |
|
|
Style Transfer (HP)
|
100% |
887222
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
249034
321.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43758
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74938
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34128
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4419
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2605
48.9 IPS |
