Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
9005
Single Precision Score
9105
Half Precision Score
20987
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | james_kwit |
| Upload Date | July 27 2025 01:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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% |
4831
898.4 IPS |
|
|
Image Classification (HP)
|
100% |
4853
902.4 IPS |
|
|
Image Classification (Q)
|
100% |
9954
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6132
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6172
100.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15113
245.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19704
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19950
23.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
76512
89.6 IPS |
|
|
Object Detection (SP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (HP)
|
100% |
5084
403.3 IPS |
|
|
Object Detection (Q)
|
88% |
11504
922.2 IPS |
|
|
Face Detection (SP)
|
100% |
11361
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
11479
136.4 IPS |
|
|
Face Detection (Q)
|
100% |
31116
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15363
118.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15022
115.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
40207
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50264
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50656
65.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174984
225.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9298
343.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9547
352.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24856
920.5 IPS |
|
|
Text Classification (SP)
|
100% |
3150
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4797
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4652
80.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4798
82.6 IPS |
