Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG
Geekbench ML Score
3468
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:36 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% |
1320
247.0 IPS |
|
|
Image Classification (F16)
|
100% |
1305
244.3 IPS |
|
|
Image Classification (I8)
|
99% |
3663
685.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
853
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2722
45.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6648
8.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
6654
8.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
24304
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
1517
113.2 IPS |
|
|
Object Detection (F16)
|
100% |
1502
112.1 IPS |
|
|
Object Detection (I8)
|
62% |
1816
135.6 IPS |
|
|
Face Detection (F32)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (F16)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (I8)
|
89% |
5684
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6365
49.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6463
50.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15250
118.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14527
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
14376
18.9 IPS |
|
|
Style Transfer (I8)
|
98% |
28168
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2621
93.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2605
93.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4285
153.0 IPS |
|
|
Text Classification (F32)
|
100% |
1333
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1341
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1190
1.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
2500
46.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2433
44.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3383
62.3 IPS |
