Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVGG
Geekbench ML Score
12809
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 06:11 AM |
| Views | 3 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6735
1.26 KIPS |
|
|
Image Classification (F16)
|
100% |
7064
1.32 KIPS |
|
|
Image Classification (I8)
|
100% |
6385
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10169
169.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7985
133.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7244
121.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
77243
93.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
81230
98.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
68849
83.4 IPS |
|
|
Object Detection (F32)
|
100% |
4482
334.6 IPS |
|
|
Object Detection (F16)
|
100% |
4718
352.2 IPS |
|
|
Object Detection (I8)
|
63% |
4730
353.1 IPS |
|
|
Face Detection (F32)
|
100% |
16718
198.8 IPS |
|
|
Face Detection (F16)
|
100% |
17047
202.7 IPS |
|
|
Face Detection (I8)
|
89% |
15037
178.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
41606
322.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
29874
231.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
24972
193.7 IPS |
|
|
Style Transfer (F32)
|
100% |
171828
226.0 IPS |
|
|
Style Transfer (F16)
|
100% |
114935
151.2 IPS |
|
|
Style Transfer (I8)
|
98% |
103450
136.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24515
875.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24338
869.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17346
619.5 IPS |
|
|
Text Classification (F32)
|
100% |
1984
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
2039
2.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1202
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
2979
54.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3020
55.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1770
32.6 IPS |
