Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVEG
Geekbench ML Score
3066
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 11 2024 04:37 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1220
228.3 IPS |
|
|
Image Classification (F16)
|
100% |
1198
224.2 IPS |
|
|
Image Classification (I8)
|
99% |
3356
628.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
900
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
898
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2483
41.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5658
6.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
5592
6.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
21198
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
1303
97.3 IPS |
|
|
Object Detection (F16)
|
100% |
1365
101.9 IPS |
|
|
Object Detection (I8)
|
62% |
1678
125.2 IPS |
|
|
Face Detection (F32)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (F16)
|
100% |
2898
34.5 IPS |
|
|
Face Detection (I8)
|
89% |
5171
61.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5403
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5488
42.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
14079
109.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12605
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13007
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
26223
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2250
80.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2263
80.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3527
126.0 IPS |
|
|
Text Classification (F32)
|
100% |
1227
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1245
1.79 KIPS |
|
|
Text Classification (I8)
|
98% |
999
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1928
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2736
50.4 IPS |
