Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
8995
Single Precision Score
8960
Half Precision Score
21129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | james_kwit |
| Upload Date | March 16 2025 04:27 PM |
| Views | 6 |
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 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% |
5101
948.6 IPS |
|
|
Image Classification (HP)
|
100% |
4749
883.1 IPS |
|
|
Image Classification (Q)
|
100% |
10702
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6254
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5876
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15844
256.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18522
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18790
21.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
74094
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
5136
407.4 IPS |
|
|
Object Detection (HP)
|
100% |
5103
404.8 IPS |
|
|
Object Detection (Q)
|
88% |
11712
938.8 IPS |
|
|
Face Detection (SP)
|
100% |
11444
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
11869
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
29244
347.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14924
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14902
114.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
42550
331.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47912
61.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48366
62.2 IPS |
|
|
Style Transfer (Q)
|
98% |
174123
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8951
330.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9239
341.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25661
950.3 IPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (Q)
|
92% |
4579
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4482
77.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4735
81.6 IPS |
