Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
25350
Single Precision Score
45072
Half Precision Score
19405
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 07:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15M3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9889
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
16867
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9103
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19291
312.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28265
458.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17570
285.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
128887
150.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
435950
508.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
115309
135.1 IPS |
|
|
Object Detection (SP)
|
100% |
13435
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
21929
1.74 KIPS |
|
|
Object Detection (Q)
|
83% |
11184
903.6 IPS |
|
|
Face Detection (SP)
|
100% |
35811
425.5 IPS |
|
|
Face Detection (HP)
|
100% |
53675
637.8 IPS |
|
|
Face Detection (Q)
|
97% |
30772
366.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63396
488.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
115310
888.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
49905
398.3 IPS |
|
|
Style Transfer (SP)
|
100% |
214414
275.6 IPS |
|
|
Style Transfer (HP)
|
100% |
693036
890.9 IPS |
|
|
Style Transfer (Q)
|
98% |
183717
236.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36014
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67804
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26996
999.6 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4320
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5613
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6043
104.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2252
42.2 IPS |
