Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
24956
Single Precision Score
44530
Half Precision Score
19262
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10065
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
17070
3.17 KIPS |
|
|
Image Classification (Q)
|
100% |
9070
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19062
309.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28143
456.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17522
284.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
125334
146.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
424410
495.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
112321
131.6 IPS |
|
|
Object Detection (SP)
|
100% |
13339
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
21635
1.72 KIPS |
|
|
Object Detection (Q)
|
83% |
10984
887.4 IPS |
|
|
Face Detection (SP)
|
100% |
35855
426.0 IPS |
|
|
Face Detection (HP)
|
100% |
53490
635.6 IPS |
|
|
Face Detection (Q)
|
97% |
30724
366.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
62606
482.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
116421
897.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
49965
398.8 IPS |
|
|
Style Transfer (SP)
|
100% |
206904
266.0 IPS |
|
|
Style Transfer (HP)
|
100% |
683609
878.8 IPS |
|
|
Style Transfer (Q)
|
98% |
177691
229.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35468
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66622
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27119
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5940
102.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2335
43.8 IPS |
