Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2796
Single Precision Score
2821
Half Precision Score
1907
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | December 01 2025 10:10 PM |
| Views | 8 |
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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (Q)
|
99% |
1498
279.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3394
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3384
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
3924
4.60 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (Q)
|
85% |
1302
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
2914
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3371
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3359
25.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2402
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3774
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3818
4.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6822
8.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2069
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1847
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
971
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (Q)
|
58% |
763
17.9 IPS |
