Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2941
Single Precision Score
1453
Half Precision Score
7069
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.4 IPS |
|
|
Image Classification (Q)
|
99% |
7607
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3346
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4308
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3824
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
22763
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
699
55.4 IPS |
|
|
Object Detection (Q)
|
86% |
7576
608.9 IPS |
|
|
Face Detection (SP)
|
100% |
4971
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
10821
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6028
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2351
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10483
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10740
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9946
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27311
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1813
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3348
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1884
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3637
73.1 IPS |
