Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG
Geekbench ML Score
6345
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:40 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% |
2749
514.5 IPS |
|
|
Image Classification (F16)
|
100% |
2584
483.6 IPS |
|
|
Image Classification (I8)
|
100% |
1668
312.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4144
69.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4187
69.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3460
57.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
42094
51.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
40554
49.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
30633
37.1 IPS |
|
|
Object Detection (F32)
|
100% |
1683
125.7 IPS |
|
|
Object Detection (F16)
|
100% |
1757
131.2 IPS |
|
|
Object Detection (I8)
|
62% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
5850
69.6 IPS |
|
|
Face Detection (F16)
|
100% |
5879
69.9 IPS |
|
|
Face Detection (I8)
|
89% |
4633
55.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15880
123.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15647
121.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
12873
99.8 IPS |
|
|
Style Transfer (F32)
|
100% |
66989
88.1 IPS |
|
|
Style Transfer (F16)
|
100% |
64546
84.9 IPS |
|
|
Style Transfer (I8)
|
98% |
46186
60.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9787
349.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10566
377.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7929
283.2 IPS |
|
|
Text Classification (F32)
|
100% |
2196
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
2124
3.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1607
2.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2529
46.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2734
50.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1502
27.6 IPS |
