MF2 Micro Computer (HK) Tech Limited Venus series
Geekbench AI Score
3719
Single Precision Score
1783
Half Precision Score
8476
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | August 31 2025 08:47 PM |
| Views | 5 |
| Notes | Micro Computer (HK) Tech Limited Venus series |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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% |
3722
692.1 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (Q)
|
99% |
8701
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9588
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4934
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
26172
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
746
59.2 IPS |
|
|
Object Detection (Q)
|
86% |
8140
654.2 IPS |
|
|
Face Detection (SP)
|
100% |
5515
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
10865
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9473
73.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2648
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7898
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14603
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14177
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27936
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2540
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6507
241.0 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1877
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3679
73.9 IPS |
