Micro-Star International Co., Ltd. Vector A16 HX A8WHG
Geekbench ML Score
4388
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2025 04:06 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector A16 HX A8WHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15MM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1655
309.8 IPS |
|
|
Image Classification (F16)
|
100% |
1627
304.5 IPS |
|
|
Image Classification (I8)
|
99% |
4193
784.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2062
34.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2129
35.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3661
61.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
12539
15.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13247
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
36842
44.6 IPS |
|
|
Object Detection (F32)
|
100% |
1728
129.0 IPS |
|
|
Object Detection (F16)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (I8)
|
62% |
1834
136.9 IPS |
|
|
Face Detection (F32)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (F16)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (I8)
|
89% |
4469
53.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8320
64.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8599
66.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
18914
146.7 IPS |
|
|
Style Transfer (F32)
|
100% |
24348
32.0 IPS |
|
|
Style Transfer (F16)
|
100% |
25486
33.5 IPS |
|
|
Style Transfer (I8)
|
98% |
24881
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3587
128.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3387
120.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4707
168.1 IPS |
|
|
Text Classification (F32)
|
100% |
1372
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1361
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1033
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
2830
52.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2786
51.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4107
75.6 IPS |
