Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3373
Single Precision Score
1581
Half Precision Score
7505
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 06 2025 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSD |
| Power Plan | Utilisation normale |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3622
673.6 IPS |
|
|
Image Classification (HP)
|
100% |
675
125.5 IPS |
|
|
Image Classification (Q)
|
99% |
8215
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9932
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6194
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4814
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
16097
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
5835
469.0 IPS |
|
|
Face Detection (SP)
|
100% |
5138
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
9045
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1978
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7656
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10704
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9702
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26050
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2314
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6606
244.6 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1825
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
984
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3402
68.4 IPS |
