Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
4901
Single Precision Score
1703
Half Precision Score
8758
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 06:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4025
748.5 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
99% |
8614
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4108
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11019
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8200
9.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
38290
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
10493
843.3 IPS |
|
|
Face Detection (SP)
|
100% |
7240
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
12411
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11607
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2626
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19759
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23316
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21944
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35763
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2606
96.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2218
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3734
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.6 IPS |
|
|
Text Classification (Q)
|
97% |
1343
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4250
85.4 IPS |
