Micro-Star International Co., Ltd. Raider 18 HX AI A2XWIG
Geekbench AI Score
28734
Single Precision Score
49398
Half Precision Score
22204
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 04:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Raider 18 HX AI A2XWIG |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11722
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
18460
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10159
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22431
363.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
33997
551.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19977
324.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
160952
187.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
442349
516.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
145227
170.1 IPS |
|
|
Object Detection (SP)
|
100% |
14243
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
24256
1.92 KIPS |
|
|
Object Detection (Q)
|
86% |
12026
966.2 IPS |
|
|
Face Detection (SP)
|
100% |
44272
526.1 IPS |
|
|
Face Detection (HP)
|
100% |
64516
766.6 IPS |
|
|
Face Detection (Q)
|
97% |
37175
443.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
69741
537.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
122578
944.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
53068
423.9 IPS |
|
|
Style Transfer (SP)
|
100% |
255380
328.3 IPS |
|
|
Style Transfer (HP)
|
100% |
858220
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
219378
282.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40326
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68817
2.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32034
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1988
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6348
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6555
112.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2982
55.9 IPS |
