Micro-Star International Co., Ltd. Prestige A16 AI+ A3HMG
Geekbench AI Score
3375
Single Precision Score
1634
Half Precision Score
6765
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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 | Ausbalanciert |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2666
495.8 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.2 IPS |
|
|
Image Classification (Q)
|
99% |
6764
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3274
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6741
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5621
6.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
25726
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
7163
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
5169
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
9929
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7813
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8464
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15410
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13960
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30992
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2387
88.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3941
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1536
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3124
62.8 IPS |
