Micro-Star International Co., Ltd. Crosshair 18 HX AI A2XWGKG
Geekbench AI Score
20475
Single Precision Score
37493
Half Precision Score
15945
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 01:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Crosshair 18 HX AI A2XWGKG |
| Motherboard | Micro-Star International Co., Ltd. MS-1841 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8683
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
15646
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
7963
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14547
235.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20535
332.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13381
217.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
106216
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
334587
390.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
101141
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
10652
844.9 IPS |
|
|
Object Detection (HP)
|
100% |
18955
1.50 KIPS |
|
|
Object Detection (Q)
|
83% |
9081
733.7 IPS |
|
|
Face Detection (SP)
|
100% |
26818
318.7 IPS |
|
|
Face Detection (HP)
|
100% |
42400
503.8 IPS |
|
|
Face Detection (Q)
|
97% |
23580
281.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
49660
382.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100798
776.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
40147
320.4 IPS |
|
|
Style Transfer (SP)
|
100% |
156186
200.8 IPS |
|
|
Style Transfer (HP)
|
100% |
538525
692.3 IPS |
|
|
Style Transfer (Q)
|
98% |
137894
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30895
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59564
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22720
841.3 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4782
82.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1804
33.8 IPS |
