Micro-Star International Co., Ltd. Crosshair 16 HX AI D2XWFKG
Geekbench AI Score
4076
Single Precision Score
6648
Half Precision Score
10037
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 04:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2997
557.4 IPS |
|
|
Image Classification (HP)
|
100% |
4330
805.2 IPS |
|
|
Image Classification (Q)
|
100% |
5171
961.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7053
114.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9065
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9439
11.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
9031
10.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
27081
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (Q)
|
88% |
6605
529.3 IPS |
|
|
Face Detection (SP)
|
100% |
4186
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
9562
113.6 IPS |
|
|
Face Detection (Q)
|
100% |
19281
229.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6348
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
14717
113.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
19666
152.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24680
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28496
36.6 IPS |
|
|
Style Transfer (Q)
|
98% |
53331
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4313
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7625
281.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12251
453.7 IPS |
|
|
Text Classification (SP)
|
71% |
1128
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
2033
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2052
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2490
43.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2436
42.1 IPS |
