Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG
Geekbench ML Score
3335
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 16 2024 03:16 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1284
240.3 IPS |
|
|
Image Classification (F16)
|
100% |
1266
236.8 IPS |
|
|
Image Classification (I8)
|
99% |
3703
693.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2629
43.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6702
8.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
6484
7.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
24846
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
1490
111.2 IPS |
|
|
Object Detection (F16)
|
100% |
1481
110.6 IPS |
|
|
Object Detection (I8)
|
62% |
1789
133.6 IPS |
|
|
Face Detection (F32)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (F16)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (I8)
|
89% |
5505
65.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6273
48.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6280
48.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
15119
117.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13795
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
14110
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
28006
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2496
89.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2173
77.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4209
150.3 IPS |
|
|
Text Classification (F32)
|
100% |
1316
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1283
1.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1176
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2214
40.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2101
38.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3203
58.9 IPS |
