Micro-Star International Co., Ltd. Stealth A16 AI+ A3HVGG
Geekbench ML Score
3422
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 03 2024 03:06 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1264
236.5 IPS |
|
|
Image Classification (F16)
|
100% |
1308
244.8 IPS |
|
|
Image Classification (I8)
|
99% |
3596
672.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2753
46.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6625
8.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
6651
8.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
24246
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
1512
112.9 IPS |
|
|
Object Detection (F16)
|
100% |
1423
106.2 IPS |
|
|
Object Detection (I8)
|
62% |
1780
132.9 IPS |
|
|
Face Detection (F32)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (F16)
|
100% |
3168
37.7 IPS |
|
|
Face Detection (I8)
|
89% |
5511
65.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6184
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6467
50.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15350
119.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14577
19.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14178
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
27972
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2655
94.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2582
92.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4426
158.1 IPS |
|
|
Text Classification (F32)
|
100% |
1324
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1345
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1157
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2405
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2390
44.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3275
60.3 IPS |
