Micro-Star International Co., Ltd. Crosshair 16 HX AI D2XWGKG
Geekbench AI Score
6904
Single Precision Score
10263
Half Precision Score
16120
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Crosshair 16 HX AI D2XWGKG |
| Motherboard | Micro-Star International Co., Ltd. MS-15P4 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4274
794.8 IPS |
|
|
Image Classification (HP)
|
100% |
7224
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10199
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5605
90.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8123
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
34039
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75266
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
4022
319.0 IPS |
|
|
Object Detection (HP)
|
100% |
6225
493.8 IPS |
|
|
Object Detection (Q)
|
88% |
10599
849.7 IPS |
|
|
Face Detection (SP)
|
100% |
12182
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
18952
225.2 IPS |
|
|
Face Detection (Q)
|
100% |
34241
406.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9974
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19067
146.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34980
272.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23997
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
55316
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
100106
129.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16394
605.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31869
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5412
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4949
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4992
86.0 IPS |
