Micro Computer (HK) Tech Limited MS-A2
Geekbench AI Score
6346
Single Precision Score
2646
Half Precision Score
11133
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | September 13 2025 12:47 AM |
| 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 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-A2 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1WSA |
| Power Plan | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4345
808.1 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
10074
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15677
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22058
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13842
16.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
67195
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
4699
372.8 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
12010
965.2 IPS |
|
|
Face Detection (SP)
|
100% |
9200
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
12467
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13348
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3780
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
25641
204.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39347
50.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31987
41.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42136
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3713
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3250
120.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2290
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1933
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1669
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4458
89.6 IPS |
