Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG
Geekbench ML Score
6455
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG |
| Motherboard | Micro-Star International Co., Ltd. MS-159K |
| 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 | AMD Radeon(TM) 880M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2817
527.2 IPS |
|
|
Image Classification (F16)
|
100% |
2611
488.5 IPS |
|
|
Image Classification (I8)
|
100% |
2219
415.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4180
69.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4196
70.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3463
57.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
41336
50.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
40766
49.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
31357
38.0 IPS |
|
|
Object Detection (F32)
|
100% |
1831
136.7 IPS |
|
|
Object Detection (F16)
|
100% |
1693
126.4 IPS |
|
|
Object Detection (I8)
|
62% |
1678
125.3 IPS |
|
|
Face Detection (F32)
|
100% |
5914
70.3 IPS |
|
|
Face Detection (F16)
|
100% |
5892
70.1 IPS |
|
|
Face Detection (I8)
|
89% |
4627
55.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15718
121.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
15920
123.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
12781
99.1 IPS |
|
|
Style Transfer (F32)
|
100% |
67085
88.2 IPS |
|
|
Style Transfer (F16)
|
100% |
67757
89.1 IPS |
|
|
Style Transfer (I8)
|
98% |
49255
64.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11802
421.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10586
378.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7275
259.8 IPS |
|
|
Text Classification (F32)
|
100% |
2216
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2175
3.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1583
2.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
2468
45.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2449
45.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1509
27.8 IPS |
