Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG
Geekbench AI Score
32328
Single Precision Score
55151
Half Precision Score
24940
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 05:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S3 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12585
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
19716
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11177
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24303
394.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34262
555.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21927
356.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
208179
242.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
624655
728.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
174514
204.4 IPS |
|
|
Object Detection (SP)
|
100% |
16455
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
24898
1.97 KIPS |
|
|
Object Detection (Q)
|
86% |
14386
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
47417
563.4 IPS |
|
|
Face Detection (HP)
|
100% |
69539
826.3 IPS |
|
|
Face Detection (Q)
|
97% |
40284
480.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
79924
615.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
159143
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61064
487.6 IPS |
|
|
Style Transfer (SP)
|
100% |
294379
378.4 IPS |
|
|
Style Transfer (HP)
|
100% |
950349
1.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
262501
338.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46317
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77922
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36642
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4688
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2160
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6447
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6451
111.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2961
55.5 IPS |
