Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench ML Score
6790
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 03:18 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% |
2917
545.8 IPS |
|
|
Image Classification (F16)
|
100% |
2956
553.1 IPS |
|
|
Image Classification (I8)
|
100% |
2324
434.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4234
70.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4225
70.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3536
59.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
41125
49.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
41902
50.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
31755
38.5 IPS |
|
|
Object Detection (F32)
|
100% |
1854
138.4 IPS |
|
|
Object Detection (F16)
|
100% |
1908
142.5 IPS |
|
|
Object Detection (I8)
|
62% |
2380
177.7 IPS |
|
|
Face Detection (F32)
|
100% |
6112
72.7 IPS |
|
|
Face Detection (F16)
|
100% |
6122
72.8 IPS |
|
|
Face Detection (I8)
|
89% |
5062
60.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19149
148.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
17012
131.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13147
102.0 IPS |
|
|
Style Transfer (F32)
|
100% |
64533
84.9 IPS |
|
|
Style Transfer (F16)
|
100% |
68699
90.4 IPS |
|
|
Style Transfer (I8)
|
98% |
49266
64.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11005
393.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10504
375.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7423
265.1 IPS |
|
|
Text Classification (F32)
|
100% |
2263
3.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2293
3.30 KIPS |
|
|
Text Classification (I8)
|
98% |
1610
2.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2841
52.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2709
49.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1590
29.3 IPS |
