Micro Computer (HK) Tech Limited MotherBoard Series
Geekbench AI Score
26537
Single Precision Score
40870
Half Precision Score
15828
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | September 03 2025 04:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | Tasakaalustatud |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HX with Radeon Graphics |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10233
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
14881
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
6702
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19168
310.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28002
453.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13313
216.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
170882
199.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
371175
433.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
130938
153.4 IPS |
|
|
Object Detection (SP)
|
100% |
13427
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
19534
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
8861
712.8 IPS |
|
|
Face Detection (SP)
|
100% |
37852
449.8 IPS |
|
|
Face Detection (HP)
|
100% |
54155
643.5 IPS |
|
|
Face Detection (Q)
|
97% |
23838
284.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66318
510.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
114760
884.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
38532
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
269617
346.6 IPS |
|
|
Style Transfer (HP)
|
100% |
655437
842.6 IPS |
|
|
Style Transfer (Q)
|
98% |
194554
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39683
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58343
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22466
831.9 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3565
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1456
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5063
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1631
30.6 IPS |
