Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVGG
Geekbench ML Score
3401
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 06:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15FK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1182
221.1 IPS |
|
|
Image Classification (F16)
|
100% |
1220
228.3 IPS |
|
|
Image Classification (I8)
|
99% |
3680
688.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
764
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
844
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2683
44.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7067
8.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
7102
8.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
27025
32.7 IPS |
|
|
Object Detection (F32)
|
100% |
1431
106.8 IPS |
|
|
Object Detection (F16)
|
100% |
1381
103.1 IPS |
|
|
Object Detection (I8)
|
62% |
1692
126.3 IPS |
|
|
Face Detection (F32)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (F16)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (I8)
|
89% |
5579
66.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5971
46.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6151
47.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
15133
117.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15255
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15081
19.8 IPS |
|
|
Style Transfer (I8)
|
98% |
28800
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2623
93.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2777
99.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4284
153.0 IPS |
|
|
Text Classification (F32)
|
100% |
1299
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1313
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1115
1.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
2343
43.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2284
42.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3332
61.3 IPS |
