Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench ML Score
6689
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 03:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.00 MB x 10 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3017
564.5 IPS |
|
|
Image Classification (F16)
|
100% |
2935
549.3 IPS |
|
|
Image Classification (I8)
|
100% |
2360
441.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4203
70.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4209
70.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3472
58.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
41683
50.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
42526
51.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
32157
38.9 IPS |
|
|
Object Detection (F32)
|
100% |
1942
145.0 IPS |
|
|
Object Detection (F16)
|
100% |
1905
142.2 IPS |
|
|
Object Detection (I8)
|
62% |
1724
128.7 IPS |
|
|
Face Detection (F32)
|
100% |
5971
71.0 IPS |
|
|
Face Detection (F16)
|
100% |
5978
71.1 IPS |
|
|
Face Detection (I8)
|
89% |
4720
56.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
16448
127.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
15977
123.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13090
101.5 IPS |
|
|
Style Transfer (F32)
|
100% |
64277
84.6 IPS |
|
|
Style Transfer (F16)
|
100% |
63085
83.0 IPS |
|
|
Style Transfer (I8)
|
98% |
47981
63.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10384
370.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10255
366.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7679
274.3 IPS |
|
|
Text Classification (F32)
|
100% |
2224
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
2222
3.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1619
2.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
3238
59.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3149
58.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1644
30.3 IPS |
