Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
19321
Single Precision Score
26644
Half Precision Score
12354
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 09 2025 02:55 PM |
| Views | 4 |
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% |
7234
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
9344
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
5016
932.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10991
178.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13293
215.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8539
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
161454
188.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
315811
368.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
124122
145.3 IPS |
|
|
Object Detection (SP)
|
100% |
9275
735.7 IPS |
|
|
Object Detection (HP)
|
100% |
11709
928.8 IPS |
|
|
Object Detection (Q)
|
89% |
6423
514.2 IPS |
|
|
Face Detection (SP)
|
100% |
22591
268.4 IPS |
|
|
Face Detection (HP)
|
100% |
27878
331.2 IPS |
|
|
Face Detection (Q)
|
97% |
15889
189.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55563
428.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86124
663.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
33763
272.1 IPS |
|
|
Style Transfer (SP)
|
100% |
245907
316.1 IPS |
|
|
Style Transfer (HP)
|
100% |
505595
649.9 IPS |
|
|
Style Transfer (Q)
|
98% |
180183
232.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32188
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42824
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19447
720.1 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2794
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2703
46.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1056
23.6 IPS |
