Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
9348
Single Precision Score
9464
Half Precision Score
21721
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | james_kwit |
| Upload Date | March 09 2025 11:46 PM |
| Views | 5 |
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% |
4703
874.5 IPS |
|
|
Image Classification (HP)
|
100% |
4754
884.1 IPS |
|
|
Image Classification (Q)
|
100% |
10694
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6399
103.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6426
104.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16080
260.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20182
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20365
23.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
79460
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (HP)
|
100% |
5643
447.6 IPS |
|
|
Object Detection (Q)
|
88% |
12076
968.0 IPS |
|
|
Face Detection (SP)
|
100% |
12049
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
11940
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
30948
367.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15731
121.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15833
122.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
42722
332.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52328
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52076
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
180174
232.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9451
349.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9627
355.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25524
945.3 IPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
92% |
4795
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4819
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4784
82.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4861
83.7 IPS |
