MACHENIKE L18Pro
Geekbench AI Score
6271
Single Precision Score
5774
Half Precision Score
15578
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Xiaochen20091 |
| Upload Date | February 12 2026 04:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MACHENIKE L18Pro |
| Motherboard | MACHENIKE X580WNX-HM |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
100% |
10283
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5513
89.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11940
193.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10444
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7942
9.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
28706
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3223
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3357
266.3 IPS |
|
|
Object Detection (Q)
|
88% |
11276
903.9 IPS |
|
|
Face Detection (SP)
|
100% |
10624
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
10746
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
29630
352.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9874
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9292
71.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29690
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29213
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21201
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85852
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4417
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17327
641.7 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (Q)
|
92% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2752
47.4 IPS |
