Micro-Star International Co., Ltd. Stealth A16 AI+ A3XVGG
Geekbench ML Score
7480
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 06:15 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 | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3129
585.6 IPS |
|
|
Image Classification (F16)
|
100% |
3241
606.5 IPS |
|
|
Image Classification (I8)
|
100% |
2692
503.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4437
74.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4410
73.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3660
61.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
46083
55.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
49822
60.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
34923
42.3 IPS |
|
|
Object Detection (F32)
|
100% |
1964
146.6 IPS |
|
|
Object Detection (F16)
|
100% |
2046
152.7 IPS |
|
|
Object Detection (I8)
|
62% |
1864
139.2 IPS |
|
|
Face Detection (F32)
|
100% |
6350
75.5 IPS |
|
|
Face Detection (F16)
|
100% |
6457
76.8 IPS |
|
|
Face Detection (I8)
|
89% |
4981
59.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19381
150.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19229
149.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
14537
112.7 IPS |
|
|
Style Transfer (F32)
|
100% |
79885
105.1 IPS |
|
|
Style Transfer (F16)
|
100% |
79484
104.6 IPS |
|
|
Style Transfer (I8)
|
98% |
53733
70.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12150
433.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11489
410.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8785
313.8 IPS |
|
|
Text Classification (F32)
|
100% |
2465
3.54 KIPS |
|
|
Text Classification (F16)
|
100% |
2554
3.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1800
2.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
3692
67.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3704
68.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1963
36.1 IPS |
