Micro-Star International Co., Ltd. Crosshair 16 HX AI D2XWFKG
Geekbench AI Score
3564
Single Precision Score
1495
Half Precision Score
6156
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 04:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Crosshair 16 HX AI D2XWFKG |
| Motherboard | Micro-Star International Co., Ltd. MS-15P4 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2425
450.9 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.6 IPS |
|
|
Image Classification (Q)
|
99% |
4575
853.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7203
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5607
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3751
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
19125
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
6457
518.9 IPS |
|
|
Face Detection (SP)
|
100% |
8408
99.9 IPS |
|
|
Face Detection (HP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
8267
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7953
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2075
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14322
114.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19275
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13037
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15045
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2216
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4524
167.5 IPS |
|
|
Text Classification (SP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.3 IPS |
|
|
Text Classification (Q)
|
97% |
937
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2545
51.1 IPS |
