Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
3447
Single Precision Score
1496
Half Precision Score
7441
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | June 03 2025 02:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2415
449.1 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
99% |
7305
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3350
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4741
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4036
4.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
20882
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
86% |
7293
586.1 IPS |
|
|
Face Detection (SP)
|
100% |
7109
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
1708
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
10480
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6249
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2167
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17005
135.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11877
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10082
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27952
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1924
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3995
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3971
79.8 IPS |
