Micro-Star International Co., Ltd. Crosshair 16 HX AI D2XWGKG
Geekbench AI Score
6991
Single Precision Score
4793
Half Precision Score
17062
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255HX |
| 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% |
4310
801.6 IPS |
|
|
Image Classification (HP)
|
100% |
3126
581.4 IPS |
|
|
Image Classification (Q)
|
100% |
10513
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5517
89.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12575
203.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8243
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
31285
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4153
329.4 IPS |
|
|
Object Detection (HP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (Q)
|
88% |
11636
932.8 IPS |
|
|
Face Detection (SP)
|
100% |
12468
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
9818
116.7 IPS |
|
|
Face Detection (Q)
|
100% |
30511
362.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10478
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7476
57.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
30727
238.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24068
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15846
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88303
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3470
128.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17161
635.5 IPS |
|
|
Text Classification (SP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5730
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5339
92.0 IPS |
