Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
30440
Single Precision Score
54281
Half Precision Score
23513
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | September 04 2025 05:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 | High 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% |
11620
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
19705
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10577
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23390
379.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
36664
594.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21404
348.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
174448
203.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
518627
605.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
149052
174.6 IPS |
|
|
Object Detection (SP)
|
100% |
16403
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
28521
2.26 KIPS |
|
|
Object Detection (Q)
|
83% |
13811
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
44496
528.7 IPS |
|
|
Face Detection (HP)
|
100% |
69128
821.4 IPS |
|
|
Face Detection (Q)
|
97% |
37680
449.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
72419
557.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
141928
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57133
456.0 IPS |
|
|
Style Transfer (SP)
|
100% |
239413
307.8 IPS |
|
|
Style Transfer (HP)
|
100% |
840290
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
205185
264.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43165
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79104
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34430
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4479
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2373
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6944
119.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7114
122.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3072
57.6 IPS |
