Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVEG
Geekbench ML Score
7007
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 11 2024 04:43 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVEG |
| 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% |
2898
542.4 IPS |
|
|
Image Classification (F16)
|
100% |
2941
550.3 IPS |
|
|
Image Classification (I8)
|
100% |
2453
459.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4279
71.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4334
72.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3555
59.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
42057
50.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
42159
51.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
32356
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
2119
158.2 IPS |
|
|
Object Detection (F16)
|
100% |
2102
156.9 IPS |
|
|
Object Detection (I8)
|
62% |
1991
148.7 IPS |
|
|
Face Detection (F32)
|
100% |
5984
71.1 IPS |
|
|
Face Detection (F16)
|
100% |
5961
70.9 IPS |
|
|
Face Detection (I8)
|
89% |
4664
55.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16986
131.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17816
138.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
13693
106.2 IPS |
|
|
Style Transfer (F32)
|
100% |
69098
90.9 IPS |
|
|
Style Transfer (F16)
|
100% |
67181
88.4 IPS |
|
|
Style Transfer (I8)
|
98% |
47595
62.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11761
420.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11972
427.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8754
312.6 IPS |
|
|
Text Classification (F32)
|
100% |
2186
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
2205
3.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1579
2.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
3569
65.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3550
65.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1835
33.8 IPS |
