Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
18663
Single Precision Score
32116
Half Precision Score
14682
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 20 2025 10:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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 | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7632
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
13413
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
6857
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13359
216.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19031
308.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12239
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
87720
102.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
255062
297.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
78485
92.0 IPS |
|
|
Object Detection (SP)
|
100% |
9379
744.0 IPS |
|
|
Object Detection (HP)
|
100% |
17005
1.35 KIPS |
|
|
Object Detection (Q)
|
84% |
8266
666.7 IPS |
|
|
Face Detection (SP)
|
100% |
22473
267.0 IPS |
|
|
Face Detection (HP)
|
100% |
37321
443.5 IPS |
|
|
Face Detection (Q)
|
97% |
20149
240.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44470
342.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87779
676.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36409
291.3 IPS |
|
|
Style Transfer (SP)
|
100% |
145661
187.2 IPS |
|
|
Style Transfer (HP)
|
100% |
366475
471.1 IPS |
|
|
Style Transfer (Q)
|
98% |
126770
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30405
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49773
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22844
845.9 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2015
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4688
80.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1998
37.5 IPS |
