MF4 Micro Computer (HK) Tech Limited MS-A2
Geekbench AI Score
6476
Single Precision Score
2617
Half Precision Score
11174
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | August 29 2025 04:01 AM |
| Views | 3 |
| Notes | Micro Computer (HK) Tech Limited MS-A2 |
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% |
4425
822.9 IPS |
|
|
Image Classification (HP)
|
100% |
858
159.6 IPS |
|
|
Image Classification (Q)
|
99% |
10311
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16790
273.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23206
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14742
17.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
66869
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
1037
82.3 IPS |
|
|
Object Detection (Q)
|
86% |
12079
970.8 IPS |
|
|
Face Detection (SP)
|
100% |
8917
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
13012
155.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14923
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3900
30.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
25649
204.7 IPS |
|
|
Style Transfer (SP)
|
100% |
40479
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29972
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41616
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2010
74.4 IPS |
|
|
Text Classification (SP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1679
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4630
93.0 IPS |
