Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench ML Score
12135
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 03:11 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG |
| 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 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7282
1.36 KIPS |
|
|
Image Classification (F16)
|
100% |
7020
1.31 KIPS |
|
|
Image Classification (I8)
|
100% |
6536
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7514
125.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7220
120.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7009
117.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
78678
95.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
75692
91.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
66662
80.7 IPS |
|
|
Object Detection (F32)
|
100% |
4139
309.0 IPS |
|
|
Object Detection (F16)
|
100% |
4290
320.3 IPS |
|
|
Object Detection (I8)
|
63% |
3329
248.5 IPS |
|
|
Face Detection (F32)
|
100% |
16122
191.7 IPS |
|
|
Face Detection (F16)
|
100% |
17247
205.1 IPS |
|
|
Face Detection (I8)
|
89% |
13681
162.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35535
275.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
36337
281.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
24918
193.2 IPS |
|
|
Style Transfer (F32)
|
100% |
114009
150.0 IPS |
|
|
Style Transfer (F16)
|
100% |
110839
145.8 IPS |
|
|
Style Transfer (I8)
|
98% |
102751
135.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20239
722.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24069
859.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17418
622.1 IPS |
|
|
Text Classification (F32)
|
100% |
2091
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1291
1.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
2985
54.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2989
55.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1644
30.3 IPS |
