Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3349
Single Precision Score
1554
Half Precision Score
6484
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pranavnv14 |
| Upload Date | May 04 2025 01:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited Venus series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (Q)
|
99% |
8477
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3688
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5628
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5172
6.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
19117
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
86% |
6699
538.4 IPS |
|
|
Face Detection (SP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
10848
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6311
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2546
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7154
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12840
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12554
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27255
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3309
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
696
928.5 IPS |
|
|
Text Classification (Q)
|
97% |
1750
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2681
53.9 IPS |
