UM773 Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2046
Single Precision Score
2043
Half Precision Score
1279
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | jakesalleskovacs |
| Upload Date | March 06 2025 12:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BFD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 4.83 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1693
314.9 IPS |
|
|
Image Classification (HP)
|
100% |
1686
313.5 IPS |
|
|
Image Classification (Q)
|
99% |
970
180.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
935
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2190
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
2365
2.77 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (Q)
|
85% |
809
65.1 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
2109
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2102
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2124
16.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1591
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2423
3.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2421
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
4248
5.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1298
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
704
945.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (Q)
|
58% |
522
12.3 IPS |
