Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
5768
Single Precision Score
2106
Half Precision Score
10050
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | james_kwit |
| Upload Date | March 16 2025 04:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-A1 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd A5WSR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4064
755.8 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (Q)
|
99% |
9726
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4175
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17766
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11742
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
56441
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
4074
323.2 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
10863
873.0 IPS |
|
|
Face Detection (SP)
|
100% |
7355
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
12089
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13638
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3072
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22936
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30604
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26112
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39620
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3295
121.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5277
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4268
85.8 IPS |
