Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVEG
Geekbench ML Score
10862
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 11 2024 04:41 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 | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5392
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5379
1.01 KIPS |
|
|
Image Classification (I8)
|
100% |
4734
885.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
8370
139.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7248
121.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6805
113.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
54334
65.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
54785
66.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
48362
58.6 IPS |
|
|
Object Detection (F32)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (F16)
|
100% |
4172
311.5 IPS |
|
|
Object Detection (I8)
|
61% |
3523
263.0 IPS |
|
|
Face Detection (F32)
|
100% |
13400
159.3 IPS |
|
|
Face Detection (F16)
|
100% |
13666
162.5 IPS |
|
|
Face Detection (I8)
|
89% |
10965
130.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30855
239.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
24608
190.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
25726
199.5 IPS |
|
|
Style Transfer (F32)
|
100% |
116632
153.4 IPS |
|
|
Style Transfer (F16)
|
100% |
98475
129.5 IPS |
|
|
Style Transfer (I8)
|
98% |
91202
120.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21371
763.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19600
700.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14504
518.0 IPS |
|
|
Text Classification (F32)
|
100% |
2267
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2263
3.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1442
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
2721
50.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2713
49.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1691
31.1 IPS |
