Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2066
Single Precision Score
2441
Half Precision Score
1519
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 01 2025 10:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 60.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (Q)
|
99% |
794
148.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
816
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2428
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
3109
3.64 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (Q)
|
85% |
1278
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
2008
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
2792
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2450
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2709
20.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1519
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2782
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3049
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
5671
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2076
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1836
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (Q)
|
58% |
762
17.9 IPS |
