Micro-Star International Co., Ltd. Vector 17 HX A13VHG
Geekbench ML Score
11337
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 30 2024 09:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector 17 HX A13VHG |
| Motherboard | Micro-Star International Co., Ltd. MS-17S1 |
| Power Plan | Camomile |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5087
951.9 IPS |
|
|
Image Classification (F16)
|
100% |
5607
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
4753
889.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
8110
135.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8043
134.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7493
125.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
87252
105.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
85749
103.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
77864
94.3 IPS |
|
|
Object Detection (F32)
|
100% |
3075
229.6 IPS |
|
|
Object Detection (F16)
|
100% |
2960
220.9 IPS |
|
|
Object Detection (I8)
|
63% |
2961
221.1 IPS |
|
|
Face Detection (F32)
|
100% |
16584
197.2 IPS |
|
|
Face Detection (F16)
|
100% |
16995
202.1 IPS |
|
|
Face Detection (I8)
|
89% |
15006
178.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30756
238.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
29059
225.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
26802
207.8 IPS |
|
|
Style Transfer (F32)
|
100% |
140429
184.7 IPS |
|
|
Style Transfer (F16)
|
100% |
139558
183.6 IPS |
|
|
Style Transfer (I8)
|
98% |
124777
164.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20672
738.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19298
689.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15270
545.3 IPS |
|
|
Text Classification (F32)
|
100% |
1649
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1649
2.37 KIPS |
|
|
Text Classification (I8)
|
98% |
922
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
2512
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2586
47.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1691
31.1 IPS |
