Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
2821
Single Precision Score
2650
Half Precision Score
8643
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | March 03 2026 01:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| 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 | AMD Ryzen 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% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
1281
238.2 IPS |
|
|
Image Classification (Q)
|
100% |
7040
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3134
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3500
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3741
4.37 IPS |
|
|
Pose Estimation (Q)
|
98% |
14901
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (Q)
|
88% |
5088
407.9 IPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
16087
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3698
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3783
29.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
15888
123.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7976
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10029
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36195
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8114
300.5 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4862
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3812
65.7 IPS |
