MFMSA102 Micro Computer (HK) Tech Limited MS-A1 Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
25710
Single Precision Score
39548
Half Precision Score
20463
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | May 15 2025 03:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
10988
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
15059
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
9857
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13011
210.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15779
255.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12398
201.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
163538
190.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
530594
619.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
148137
173.5 IPS |
|
|
Object Detection (SP)
|
100% |
12885
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18176
1.44 KIPS |
|
|
Object Detection (Q)
|
86% |
10955
880.2 IPS |
|
|
Face Detection (SP)
|
100% |
32491
386.1 IPS |
|
|
Face Detection (HP)
|
100% |
40056
476.0 IPS |
|
|
Face Detection (Q)
|
97% |
28261
337.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
77123
594.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
120229
926.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
58366
466.1 IPS |
|
|
Style Transfer (SP)
|
100% |
294954
379.2 IPS |
|
|
Style Transfer (HP)
|
100% |
799888
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
246280
317.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42393
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65021
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33475
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4481
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2241
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2131
40.0 IPS |
