Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench ML Score
6668
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 03:19 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% |
2934
548.9 IPS |
|
|
Image Classification (F16)
|
100% |
2955
553.0 IPS |
|
|
Image Classification (I8)
|
100% |
2491
466.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4233
70.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4218
70.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3514
58.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
39141
47.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
41072
49.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
32688
39.6 IPS |
|
|
Object Detection (F32)
|
100% |
1876
140.0 IPS |
|
|
Object Detection (F16)
|
100% |
1953
145.8 IPS |
|
|
Object Detection (I8)
|
62% |
1862
139.0 IPS |
|
|
Face Detection (F32)
|
100% |
6069
72.2 IPS |
|
|
Face Detection (F16)
|
100% |
5981
71.1 IPS |
|
|
Face Detection (I8)
|
89% |
4705
55.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16926
131.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
16418
127.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
12996
100.8 IPS |
|
|
Style Transfer (F32)
|
100% |
68161
89.7 IPS |
|
|
Style Transfer (F16)
|
100% |
68141
89.6 IPS |
|
|
Style Transfer (I8)
|
98% |
47040
61.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10244
365.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10399
371.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8035
287.0 IPS |
|
|
Text Classification (F32)
|
100% |
2263
3.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2239
3.22 KIPS |
|
|
Text Classification (I8)
|
98% |
1611
2.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
2614
48.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2722
50.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1619
29.8 IPS |
