Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2422
Single Precision Score
2439
Half Precision Score
1586
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 01 2025 10:15 PM |
| Views | 14 |
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% |
2080
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (Q)
|
99% |
1502
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1270
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2896
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
2815
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (HP)
|
100% |
1189
94.3 IPS |
|
|
Object Detection (Q)
|
85% |
694
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
2900
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3335
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3295
25.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1954
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3394
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3205
4.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4685
6.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2024
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1828
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
843
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (Q)
|
58% |
662
15.5 IPS |
