Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
5558
Single Precision Score
1829
Half Precision Score
9229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RoboEd |
| Upload Date | June 20 2025 03:26 AM |
| Views | 1 |
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 | Ultimate Performance |
| 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% |
4118
765.9 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
10005
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3935
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13863
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9506
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
42329
49.6 IPS |
|
|
Object Detection (SP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.4 IPS |
|
|
Object Detection (Q)
|
86% |
10028
805.9 IPS |
|
|
Face Detection (SP)
|
100% |
8551
101.6 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
12898
153.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13428
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2793
21.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
21624
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29209
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39169
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3835
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
1433
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.4 IPS |
|
|
Text Classification (Q)
|
97% |
1353
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4736
95.2 IPS |
