Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19528
Single Precision Score
26567
Half Precision Score
12340
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 11 2025 03:36 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 F7BSD |
| Power Plan | Balanced |
| 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% |
7451
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
9552
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
5075
943.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11074
179.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13692
222.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8547
139.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
160524
187.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
304644
355.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
123749
144.9 IPS |
|
|
Object Detection (SP)
|
100% |
9509
754.3 IPS |
|
|
Object Detection (HP)
|
100% |
11277
894.5 IPS |
|
|
Object Detection (Q)
|
89% |
6492
519.7 IPS |
|
|
Face Detection (SP)
|
100% |
22783
270.7 IPS |
|
|
Face Detection (HP)
|
100% |
27972
332.4 IPS |
|
|
Face Detection (Q)
|
97% |
15132
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55328
426.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85966
662.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
33400
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
244765
314.6 IPS |
|
|
Style Transfer (HP)
|
100% |
506510
651.1 IPS |
|
|
Style Transfer (Q)
|
98% |
179801
231.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32870
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42988
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19291
714.3 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2677
3.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1056
23.6 IPS |
