Micro-Star International Co., Ltd. Vector 16 HX AI A2XWHG
Geekbench AI Score
24938
Single Precision Score
44629
Half Precision Score
19105
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | punkouter25 |
| Upload Date | August 06 2025 05:29 PM |
| Views | 6 |
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 |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10097
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17394
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9111
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19217
311.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28547
462.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17513
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
122564
143.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
418461
488.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
109536
128.3 IPS |
|
|
Object Detection (SP)
|
100% |
13248
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
21817
1.73 KIPS |
|
|
Object Detection (Q)
|
83% |
11010
889.6 IPS |
|
|
Face Detection (SP)
|
100% |
35604
423.0 IPS |
|
|
Face Detection (HP)
|
100% |
53684
637.9 IPS |
|
|
Face Detection (Q)
|
97% |
30561
364.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
60342
464.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
112233
864.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
49507
395.2 IPS |
|
|
Style Transfer (SP)
|
100% |
206121
265.0 IPS |
|
|
Style Transfer (HP)
|
100% |
671094
862.7 IPS |
|
|
Style Transfer (Q)
|
98% |
174867
225.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34861
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66386
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26078
965.6 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5722
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2313
43.4 IPS |
