Micro-Star International Co., Ltd. Vector A18 HX A9WIG
Geekbench AI Score
29859
Single Precision Score
51069
Half Precision Score
23320
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 12:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| 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% |
12215
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
19745
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11057
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22747
368.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34392
557.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20935
340.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
165342
192.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
460306
537.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
145570
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
15402
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
26381
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
13187
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
46693
554.8 IPS |
|
|
Face Detection (HP)
|
100% |
69264
823.0 IPS |
|
|
Face Detection (Q)
|
97% |
39088
466.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
74049
570.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
130167
1.00 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57881
462.4 IPS |
|
|
Style Transfer (SP)
|
100% |
263051
338.2 IPS |
|
|
Style Transfer (HP)
|
100% |
854693
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
228411
294.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41118
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69778
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33002
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3446
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2158
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6179
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6389
110.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2909
54.6 IPS |
