Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG
Geekbench ML Score
3451
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 02:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWIG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2102
393.4 IPS |
|
|
Image Classification (F16)
|
100% |
2134
399.4 IPS |
|
|
Image Classification (I8)
|
100% |
1542
288.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2757
46.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2771
46.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1930
32.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8800
10.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8906
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
7016
8.50 IPS |
|
|
Object Detection (F32)
|
100% |
2102
156.9 IPS |
|
|
Object Detection (F16)
|
100% |
2161
161.3 IPS |
|
|
Object Detection (I8)
|
54% |
1582
118.1 IPS |
|
|
Face Detection (F32)
|
100% |
4148
49.3 IPS |
|
|
Face Detection (F16)
|
100% |
4161
49.5 IPS |
|
|
Face Detection (I8)
|
89% |
2648
31.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8389
65.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8753
67.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
6290
48.8 IPS |
|
|
Style Transfer (F32)
|
100% |
22700
29.9 IPS |
|
|
Style Transfer (F16)
|
100% |
23416
30.8 IPS |
|
|
Style Transfer (I8)
|
98% |
17570
23.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4557
162.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4809
171.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3133
111.9 IPS |
|
|
Text Classification (F32)
|
100% |
1048
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1034
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
618
887.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2001
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2008
37.0 IPS |
|
|
Machine Translation (I8)
|
70% |
938
17.3 IPS |
