Micro-Star International Co., Ltd. Vector A18 HX A9WIG
Geekbench AI Score
6171
Single Precision Score
2292
Half Precision Score
10479
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9955HX 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Vector A18 HX A9WIG |
| Motherboard | Micro-Star International Co., Ltd. MS-182L |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4055
754.1 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.5 IPS |
|
|
Image Classification (Q)
|
99% |
10612
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4069
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20639
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12091
14.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
65269
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
4280
339.5 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
12550
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
2102
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
12912
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14776
113.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3394
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25694
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35101
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27989
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36853
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4107
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3265
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4515
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4574
91.9 IPS |
