Micro Computer (HK) Tech Limited MS-A2
Geekbench AI Score
11259
Single Precision Score
11285
Half Precision Score
27808
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 08:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5780
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5658
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
14644
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7563
122.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7559
122.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21542
349.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23556
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
23906
27.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
100269
117.4 IPS |
|
|
Object Detection (SP)
|
100% |
6954
551.6 IPS |
|
|
Object Detection (HP)
|
100% |
6854
543.6 IPS |
|
|
Object Detection (Q)
|
88% |
16530
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
14192
168.6 IPS |
|
|
Face Detection (HP)
|
100% |
13701
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
42692
507.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18493
142.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18815
145.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
52416
407.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60662
78.0 IPS |
|
|
Style Transfer (HP)
|
100% |
62986
81.0 IPS |
|
|
Style Transfer (Q)
|
98% |
223551
288.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11529
425.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32372
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4567
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6422
110.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6436
110.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7152
123.2 IPS |
