Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
5214
Single Precision Score
1857
Half Precision Score
9819
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 03 2025 09:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX3D |
| 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 DRFXI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4164
774.4 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.3 IPS |
|
|
Image Classification (Q)
|
99% |
8988
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11809
192.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13756
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9461
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
40961
48.0 IPS |
|
|
Object Detection (SP)
|
100% |
4195
332.8 IPS |
|
|
Object Detection (HP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (Q)
|
86% |
10047
807.5 IPS |
|
|
Face Detection (SP)
|
100% |
8055
95.7 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
11271
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12941
99.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2861
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22401
178.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25651
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22583
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35664
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2642
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2321
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4741
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
684
912.3 IPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3808
76.5 IPS |
