Micro-Star International Co., Ltd. Titan 18 HX AI A2XWJG
Geekbench AI Score
31752
Single Precision Score
54092
Half Precision Score
24369
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Titan 18 HX AI A2XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-1824 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12134
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
18778
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10810
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24931
404.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
35482
575.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21873
355.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
203424
237.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
598817
698.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
172489
202.0 IPS |
|
|
Object Detection (SP)
|
100% |
16172
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
24732
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
14148
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
48486
576.1 IPS |
|
|
Face Detection (HP)
|
100% |
74011
879.4 IPS |
|
|
Face Detection (Q)
|
97% |
40541
483.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78084
601.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
157564
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58583
467.8 IPS |
|
|
Style Transfer (SP)
|
100% |
289041
371.6 IPS |
|
|
Style Transfer (HP)
|
100% |
940298
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
256515
330.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44609
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72701
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35411
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4223
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2025
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6473
111.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6456
111.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2931
55.0 IPS |
