Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
6943
Single Precision Score
7017
Half Precision Score
16408
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | December 11 2024 11:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4064
755.7 IPS |
|
|
Image Classification (HP)
|
100% |
4218
784.5 IPS |
|
|
Image Classification (Q)
|
100% |
9772
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9040
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10573
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10735
12.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
42292
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
4310
341.8 IPS |
|
|
Object Detection (HP)
|
100% |
4456
353.5 IPS |
|
|
Object Detection (Q)
|
88% |
10766
863.0 IPS |
|
|
Face Detection (SP)
|
100% |
11547
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
11255
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
28225
335.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11585
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11717
90.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
32592
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27978
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28545
36.7 IPS |
|
|
Style Transfer (Q)
|
98% |
104123
134.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18249
675.8 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (Q)
|
92% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4792
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5109
88.0 IPS |
