Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
1792
Single Precision Score
1962
Half Precision Score
1396
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 20 2025 11:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 610M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| Power Plan | Ryzen Optimized Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
100% |
532
98.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
944
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6249
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
10359
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
5581
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.4 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
89% |
529
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1443
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3372
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3962
30.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
2869
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10893
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15851
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
9594
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3636
134.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1988
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
732
977.2 IPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
504
674.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
60% |
478
10.7 IPS |
