Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG
Geekbench ML Score
3537
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:35 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1317
246.5 IPS |
|
|
Image Classification (F16)
|
100% |
1308
244.7 IPS |
|
|
Image Classification (I8)
|
99% |
3649
682.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1237
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1220
20.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2790
46.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6536
7.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
6626
8.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
23118
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (F16)
|
100% |
1517
113.3 IPS |
|
|
Object Detection (I8)
|
62% |
1827
136.4 IPS |
|
|
Face Detection (F32)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (F16)
|
100% |
3227
38.4 IPS |
|
|
Face Detection (I8)
|
89% |
5729
68.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6399
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6394
49.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
15057
116.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14314
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
14249
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28195
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2573
91.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2645
94.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4372
156.1 IPS |
|
|
Text Classification (F32)
|
100% |
1329
1.91 KIPS |
|
|
Text Classification (F16)
|
100% |
1326
1.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1191
1.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
2484
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2431
44.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3412
62.8 IPS |
