Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
17555
Single Precision Score
28863
Half Precision Score
13496
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 20 2025 11:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| Power Plan | Ryzen Optimized Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6961
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
11942
2.23 KIPS |
|
|
Image Classification (Q)
|
100% |
6130
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11838
191.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15877
257.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10856
176.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
87177
101.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
245455
286.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
77515
90.8 IPS |
|
|
Object Detection (SP)
|
100% |
8776
696.1 IPS |
|
|
Object Detection (HP)
|
100% |
14451
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
7257
580.9 IPS |
|
|
Face Detection (SP)
|
100% |
18742
222.7 IPS |
|
|
Face Detection (HP)
|
100% |
29505
350.6 IPS |
|
|
Face Detection (Q)
|
97% |
15602
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
42294
325.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77697
598.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
34297
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
145051
186.5 IPS |
|
|
Style Transfer (HP)
|
100% |
350526
450.6 IPS |
|
|
Style Transfer (Q)
|
98% |
130042
167.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29518
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48090
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22666
839.3 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2093
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1623
36.2 IPS |
