Micro-Star International Co., Ltd. Vector 17 HX AI A2XWJG
Geekbench AI Score
6856
Single Precision Score
2565
Half Precision Score
11313
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 05:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5409
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
867
161.3 IPS |
|
|
Image Classification (Q)
|
99% |
9115
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16761
272.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14607
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8176
9.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
46102
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
5031
399.1 IPS |
|
|
Object Detection (HP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (Q)
|
86% |
11727
942.5 IPS |
|
|
Face Detection (SP)
|
100% |
15924
189.2 IPS |
|
|
Face Detection (HP)
|
100% |
2682
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
13112
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15827
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3583
27.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24553
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28844
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19495
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30338
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3338
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6550
242.5 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1060
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4207
84.5 IPS |
