MFMSA102 Micro Computer (HK) Tech Limited MS-A1 Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
5054
Single Precision Score
1897
Half Precision Score
9469
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | May 15 2025 04:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3853
716.6 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
99% |
9351
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4253
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13351
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9655
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
53232
62.4 IPS |
|
|
Object Detection (SP)
|
100% |
3883
308.0 IPS |
|
|
Object Detection (HP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
10376
833.9 IPS |
|
|
Face Detection (SP)
|
100% |
6957
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
12218
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12523
96.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2861
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22582
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25222
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22092
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38594
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3038
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2538
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4487
166.2 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2579
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3560
71.5 IPS |
