Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG
Geekbench AI Score
32258
Single Precision Score
55364
Half Precision Score
24734
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 01:58 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 (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 Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12496
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
19789
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
11179
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24329
394.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34111
553.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21890
355.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
196698
229.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
625553
729.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
165208
193.5 IPS |
|
|
Object Detection (SP)
|
100% |
16860
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
25393
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
14632
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
47244
561.4 IPS |
|
|
Face Detection (HP)
|
100% |
70013
831.9 IPS |
|
|
Face Detection (Q)
|
97% |
39864
475.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
77521
597.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
159592
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59593
475.9 IPS |
|
|
Style Transfer (SP)
|
100% |
300411
386.2 IPS |
|
|
Style Transfer (HP)
|
100% |
945693
1.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
258055
332.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45894
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78267
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35723
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2237
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6489
111.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6435
110.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2958
55.5 IPS |
